50+ Data Analytics Jobs in Bangalore (Bengaluru) | Data Analytics Job openings in Bangalore (Bengaluru)

We are seeking a motivated Data Analyst to support business operations by analyzing data, preparing reports, and delivering meaningful insights. The ideal candidate should be comfortable working with data, identifying patterns, and presenting findings in a clear and actionable way.

Key Responsibilities:

• Collect, clean, and organize data from internal and external sources
• Analyze large datasets to identify trends, patterns, and opportunities
• Prepare regular and ad-hoc reports for business stakeholders
• Create dashboards and visualizations using tools like Power BI or Tableau
• Work closely with cross-functional teams to understand data requirements
• Ensure data accuracy, consistency, and quality across reports
• Document data processes and analysis methods

We’re looking for a passionate Data & Automation Engineer to join our team and assist in managing and processing large volumes of structured and unstructured data. You'll work closely with our engineering and product teams to extract, transform, and load (ETL) data, automate data workflows, and format data for different use cases.

Key Responsibilities:

• Write efficient scripts using Python and Node.js to process and manipulate data
• Scrape and extract data from public and private sources (APIs, websites, files)
• Format and clean raw datasets for consistency and usability
• Upload data to various databases, including MongoDB and other storage solutions
• Create and maintain data pipelines and automation scripts
• Document processes, scripts, and schema changes clearly
• Collaborate with backend and product teams to support data-related needs

Skills Required:

• Proficiency in Python (especially for data manipulation using libraries like pandas, requests, etc.)
• Experience with Node.js for backend tasks or scripting
• Familiarity with MongoDB and understanding of NoSQL databases
• Basic knowledge of web scraping tools (e.g., BeautifulSoup, Puppeteer, or Cheerio)
• Understanding of JSON, APIs, and data formatting best practices
• Attention to detail, debugging skills, and a data-driven mindset

Good to Have:

• Experience with data visualization or reporting tools
• Knowledge of other databases like PostgreSQL or Redis
• Familiarity with version control (Git) and working in agile teams

We are seeking a hands-on eCommerce Analytics & Insights Lead to help establish and scale our newly launched eCommerce business. The ideal candidate is highly data-savvy, understands eCommerce deeply, and can lead KPI definition, performance tracking, insights generation, and data-driven decision-making.

You will work closely with cross-functional teams—Buying, Marketing, Operations, and Technology—to build dashboards, uncover growth opportunities, and guide the evolution of our online channel.

Key Responsibilities

Define & Monitor eCommerce KPIs

• Set up and track KPIs across the customer journey: traffic, conversion, retention, AOV/basket size, repeat rate, etc.
• Build KPI frameworks aligned with business goals.

Data Tracking & Infrastructure

• Partner with marketing, merchandising, operations, and tech teams to define data tracking requirements.
• Collaborate with eCommerce and data engineering teams to ensure data quality, completeness, and availability.

Dashboards & Reporting

• Build dashboards and automated reports to track:
• Overall site performance
• Category & product performance
• Marketing ROI and acquisition effectiveness

Insights & Performance Diagnosis

Identify trends, opportunities, and root causes of underperformance in areas such as:

• Product availability & stock health
• Pricing & promotions
• Checkout funnel drop-offs
• Customer retention & cohort behavior
• Channel acquisition performance

Conduct:

• Cohort analysis
• Funnel analytics
• Customer segmentation
• Basket analysis

Data-Driven Growth Initiatives

• Propose and evaluate experiments, optimization ideas, and quick wins.
• Help business teams interpret KPIs and take informed decisions.

Required Skills & Experience

• 2–5 years experience in eCommerce analytics (grocery retail experience preferred).
• Strong understanding of eCommerce metrics and analytics frameworks (Traffic → Conversion → Repeat → LTV).
• Proficiency with tools such as:
• Google Analytics / GA4
• Excel
• SQL
• Power BI or Tableau
• Experience working with:
• Digital marketing data
• CRM and customer data
• Product/category performance data
• Ability to convert business questions into analytical tasks and produce clear, actionable insights.
• Familiarity with:
• Customer journey mapping
• Funnel analysis
• Basket and behavioral analysis
• Comfortable working in fast-paced, ambiguous, and build-from-scratch environments.
• Strong communication and stakeholder management skills.
• Strong technical capability in at least one programming language: SQL or PySpark.

Good to Have

• Experience with eCommerce platforms (Shopify, Magento, Salesforce Commerce, etc.).
• Exposure to A/B testing, recommendation engines, or personalization analytics.
• Knowledge of Python/R for deeper analytics (optional).
• Experience with tracking setup (GTM, event tagging, pixel/event instrumentation).

In this role, you will drive and support customer analytics for HP’s online store business across the APJ region. You will lead campaign performance analytics, customer database intelligence, and enable data-driven targeting for automation and trigger programs. Your insights will directly shape customer engagement, marketing strategy, and business decision-making.

You will be part of the International Customer Management team, which focuses on customer strategy, base value, monetization, and brand consideration. As part of HP’s Digital Direct organization, you will support the company’s strategic transformation toward direct-to-customer excellence.

Join HP—a US$50B global technology leader known for innovation and being #1 in several business domains.

Key Responsibilities

Customer Insights & Analytics

• Design and deploy customer success and engagement metrics across APJ.
• Analyze customer behavior and engagement to drive data-backed marketing decisions.
• Apply statistical techniques to translate raw data into meaningful insights.

Campaign Performance & Optimization

• Elevate marketing campaigns across APJ by enabling advanced targeting criteria, performance monitoring, and test-and-learn frameworks.
• Conduct campaign measurement, identifying trends, patterns, and optimization opportunities.

Data Management & Reporting

• Develop a deep understanding of business data across markets.
• Build and maintain SQL-based data assets: tables, stored procedures, scripts, queries, and SQL views.
• Provide reporting and dashboards for marketing, sales, and CRM teams using Tableau or Power BI.
• Measure and monitor strategic initiatives against KPIs and provide uplift forecasts for prioritization.

Required Experience

• 4+ years of relevant experience (flexible for strong profiles).
• Proficiency in SQL, including:
• Database design principles
• Query optimization
• Data integrity checks
• Building SQL views, stored procedures, and analytics-ready datasets
• Experience translating analytics into business outcomes.
• Hands-on experience analyzing campaign performance.
• Expertise with data visualization tools such as Tableau or Power BI.
• Experience with campaign management/marketing automation platforms (preferably Salesforce Marketing Cloud).

About You

• Strong advocate of customer data–driven marketing.
• Comfortable working hands-on with data and solving complex problems.
• Confident communicator who can work with multiple cross-functional stakeholders.
• Passionate about experimentation (test & learn) and continuous improvement.
• Self-driven, accountable, and motivated by ownership.
• Thrive in a diverse, international, dynamic environment.

Job Description – Senior Technical Business Analyst

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

About the Role

We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.

As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.

Key Responsibilities

Business & Analytical Responsibilities

• Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
• Break down business needs into concise, actionable, and development-ready user stories in Jira.

Data & Technical Responsibilities

• Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
• Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
• Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
• Validate and ensure data quality, consistency, and accuracy across datasets and systems.

Collaboration & Execution

• Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
• Assist in development, testing, and rollout of data-driven solutions.
• Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.

Required Skillsets

Core Technical Skills

• 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
• Data Analytics: SQL, descriptive analytics, business problem framing.
• Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
• Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
• Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.

Soft Skills

• Strong analytical thinking and structured problem-solving capability.
• Ability to convert business problems into clear technical requirements.
• Excellent communication, documentation, and presentation skills.
• High curiosity, adaptability, and eagerness to learn new tools and techniques.

Educational Qualifications

• BE/B.Tech or equivalent in:
• Computer Science / IT
• Data Science

What We Look For

• Demonstrated passion for data and analytics through projects and certifications.
• Strong commitment to continuous learning and innovation.
• Ability to work both independently and in collaborative team environments.
• Passion for solving business problems using data-driven approaches.
• Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.

Why Join Us?

• Exposure to modern data platforms, analytics tools, and AI technologies.
• A culture that promotes innovation, ownership, and continuous learning.
• Supportive environment to build a strong career in data and analytics.

Skills: Data Analytics, Business Analysis, Sql

Must-Haves

Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R

******

Notice period - 0 to 15 days (Max 30 Days)

Educational Qualifications: BE/B.Tech or equivalent in: (Computer Science / IT) /Data Science

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

Required Skills: Strong SQL Expertise, Data Reporting & Analytics, Database Development, Stakeholder & Client Communication, Independent Problem-Solving & Automation Skills

Review Criteria

· Must have Strong SQL skills (queries, optimization, procedures, triggers)

· Must have Advanced Excel skills

· Should have 3+ years of relevant experience

· Should have Reporting + dashboard creation experience

· Should have Database development & maintenance experience

· Must have Strong communication for client interactions

· Should have Ability to work independently

· Willingness to work from client locations.

Description

Who is an ideal fit for us?

We seek professionals who are analytical, demonstrate self-motivation, exhibit a proactive mindset, and possess a strong sense of responsibility and ownership in their work.

What will you get to work on?

As a member of the Implementation & Analytics team, you will:

● Design, develop, and optimize complex SQL queries to extract, transform, and analyze data

● Create advanced reports and dashboards using SQL, stored procedures, and other reporting tools

● Develop and maintain database structures, stored procedures, functions, and triggers

● Optimize database performance by tuning SQL queries, and indexing to handle large datasets efficiently

● Collaborate with business stakeholders and analysts to understand analytics requirements

● Automate data extraction, transformation, and reporting processes to improve efficiency

What do we expect from you?

For the SQL/Oracle Developer role, we are seeking candidates with the following skills and Expertise:

● Proficiency in SQL (Window functions, stored procedures) and MS Excel (advanced Excel skills)

● More than 3 plus years of relevant experience

● Java / Python experience is a plus but not mandatory

● Strong communication skills to interact with customers to understand their requirements

● Capable of working independently with minimal guidance, showcasing self-reliance and initiative

● Previous experience in automation projects is preferred

● Work From Office: Bangalore/Navi Mumbai/Pune/Client locations

Required Skills: Project Management, Data Analysis, SQL queries, Client Engagement

Criteria:

• Must have 3+ years of project/program management experience in Financial Services/Banking/NBFC/Fintech companies only.
• Hands-on proficiency in data analysis and SQL querying, with ability to work on large datasets
• Ability to lead end-to-end implementation projects and manage cross-functional teams effectively.
• Experience in process analysis, optimization, and mapping for operational efficiency.
• Strong client-facing communication and stakeholder management capabilities.
• Good expertise in financial operations processes and workflows with proven implementation experience.

Description

Position Overview:

We are seeking a dynamic and experienced Technical Program Manager to join our team. The successful candidate will be responsible for managing the implementation of company’s solutions at existing and new clients. This role requires a deep understanding of financial operation processes, exceptional problem-solving skills, and the ability to analyze large volumes of data. The Technical Program manager will drive process excellence and ensure outstanding customer satisfaction throughout the implementation lifecycle and beyond.

Key Responsibilities:

● Client Engagement: Serve as the primary point of contact for assigned clients, understanding their unique operation processes and requirements. Build and maintain strong relationships to facilitate successful implementations.

● Project Management: Lead the end-to-end implementation of company’s solutions, ensuring projects are delivered on time, within scope, and within budget. Coordinate with cross-functional teams to align resources and objectives.

● Process Analysis and Improvement: Evaluate clients' existing operation workflows, identify inefficiencies, and recommend optimized processes leveraging company’s platform. Utilize process mapping and data analysis to drive continuous improvement.

● Data Analysis: Analyze substantial datasets to ensure accurate configuration and integration of company’s solutions. Employ statistical tools and SQL-based queries to interpret data and provide actionable insights.

● Problem Solving: Break down complex problems into manageable components, developing effective solutions in collaboration with clients and internal teams.

● Process Excellence: Advocate for and implement best practices in process management, utilizing methodologies such as Lean Six Sigma to enhance operational efficiency.

● Customer Excellence: Ensure a superior customer experience by proactively addressing client needs, providing training and support, and promptly resolving any issues that arise.

Qualifications:

● Minimum of 3 years of experience in project management, preferably in financial services, software implementation, consulting or analytics.

● Strong analytical skills with experience in data analysis, SQL querying, and handling large datasets.

● Excellent communication and interpersonal skills, with the ability to manage client relationships effectively.

● Demonstrated ability to lead cross-functional teams and manage multiple projects concurrently.

● Proven expertise in financial operation processes and related software solutions is a plus

● Proficiency in developing business intelligence solutions or with low-code tools is a plus

Why Join company?

● Opportunity to work with a cutting-edge financial technology company.

● Collaborative and innovative work environment.

● Competitive compensation and benefits package.

● Professional development and growth opportunities.

REQUIRED SKILLS:

Project Management, Data Analysis, SQL queries, Client Engagement

MANDATORY CRITERIA:

• Should have at least 1 to 3 years of project/program management experience in Financial Services / Banking / NBFC / Fintech companies only.
• Hands-on proficiency in data analysis and SQL querying, with ability to work on large datasets
• Ability to lead end-to-end implementation projects and manage cross-functional teams effectively.
• Experience in process analysis, optimization, and mapping for operational efficiency.
• Strong client-facing communication and stakeholder management capabilities.
• Good expertise in financial operations processes and workflows with proven implementation experience.

DESCRIPTION:

About the company:

The company is a leading provider of financial operation solutions, dedicated to helping organizations streamline their financial processes and achieve operational excellence. Our innovative platform empowers clients to automate complex operations, ensuring accuracy and efficiency in their financial operations.

POSITION OVERVIEW:

We are seeking a dynamic and experienced Technical Program Manager to join our team. The successful candidate will be responsible for managing the implementation of company’s solutions at existing and new clients. This role requires a deep understanding of financial operation processes, exceptional problem-solving skills, and the ability to analyze large volumes of data. The Technical Program manager will drive process excellence and ensure outstanding customer satisfaction throughout the implementation lifecycle and beyond.

KEY RESPONSIBILITIES:

• Client Engagement: Serve as the primary point of contact for assigned clients, understanding their unique operation processes and requirements. Build and maintain strong relationships to facilitate successful implementations.
• Project Management: Lead the end-to-end implementation of company's solutions, ensuring projects are delivered on time, within scope, and within budget. Coordinate with cross-functional teams to align resources and objectives.
• Process Analysis and Improvement: Evaluate clients' existing operation workflows, identify inefficiencies, and recommend optimized processes leveraging company’s platform. Utilize process mapping and data analysis to drive continuous improvement.
• Data Analysis: Analyze substantial datasets to ensure accurate configuration and integration of company's solutions. Employ statistical tools and SQL-based queries to interpret data and provide actionable insights.
• Problem Solving: Break down complex problems into manageable components, developing effective solutions in collaboration with clients and internal teams.
• Process Excellence: Advocate for and implement best practices in process management, utilizing methodologies such as Lean Six Sigma to enhance operational efficiency.
• Customer Excellence: Ensure a superior customer experience by proactively addressing client needs, providing training and support, and promptly resolving any issues that arise.

QUALIFICATIONS:

• 1 to 3 years of experience in project management, preferably in financial services, software implementation, consulting or analytics.
• Strong analytical skills with experience in data analysis, SQL querying, and handling large datasets.
• Excellent communication and interpersonal skills, with the ability to manage client relationships effectively.
• Demonstrated ability to lead cross-functional teams and manage multiple projects concurrently.
• Proven expertise in financial operation processes and related software solutions is a plus
• Proficiency in developing business intelligence solutions or with low-code tools is a plus

WHY JOIN US?

• Opportunity to work with a cutting-edge financial technology company.
• Collaborative and innovative work environment.
• Competitive compensation and benefits package.
• Professional development and growth opportunities.

Who is an ideal fit for us?

We seek professionals who are analytical, demonstrate self-motivation, exhibit a proactive mindset, and possess a strong sense of responsibility and ownership in their work.

What will you get to work on?

As a member of the Implementation & Analytics team, you will:

● Design, develop, and optimize complex SQL queries to extract, transform, and analyze data

● Create advanced reports and dashboards using SQL, stored procedures, and other reporting tools

● Develop and maintain database structures, stored procedures, functions, and triggers

● Optimize database performance by tuning SQL queries, and indexing to handle large datasets efficiently

● Collaborate with business stakeholders and analysts to understand analytics requirements

● Automate data extraction, transformation, and reporting processes to improve efficiency

What do we expect from you?

For the SQL/Oracle Developer role, we are seeking candidates with the following skills and Expertise:

● Proficiency in SQL (Window functions, stored procedures) and MS Excel (advanced Excel skills)

● More than 3 plus years of relevant experience

● Java / Python experience is a plus but not mandatory

● Strong communication skills to interact with customers to understand their requirements

● Capable of working independently with minimal guidance, showcasing self-reliance and initiative

● Previous experience in automation projects is preferred

● Work From Office: Bangalore/Navi Mumbai/Pune/Client locations

Must have Strong SQL skills (queries, optimization, procedures, triggers)

Must have Advanced Excel skills

Should have 3+ years of relevant experience

Should have Reporting + dashboard creation experience

Should have Database development & maintenance experience

Must have Strong communication for client interactions

Should have Ability to work independently

Willingness to work from client locations

Alpha Design Technologies is hiring BE Freshers!

6-Month Internship

We’re looking for enthusiastic BE graduates who are good with numbers, data management, and HR reporting to join our Talent Acquisition / HR Operations team.

Who can apply:

BE Freshers (any stream)

Strong with numbers & Excel

Detail-oriented and eager to learn

We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.

Key Responsibilities :

- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.

- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.

- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.

- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.

- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.

- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.

- Implement inter-service communication using gRPC and REST.

- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.

Required Skills & Qualifications :

- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.

- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.

- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).

- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.

- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.

- Proven experience with system architecture, distributed systems, and microservices.

- Strong familiarity with Any Cloud infrastructure and deployment practices.

- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.

About ThoughtClan Technologies

ThoughtClan is a niche, technology-focused, 100+ people strong software company that works on building complex enterprise-scale web and mobile-oriented digitalization and data science-related projects. They are in IT Services as well as Product Development space. They focus on applying technology to enable businesses to function better. ThoughtClan is a team of highly specialized technical folks and is growing rapidly.

They have expertise in developing projects related to:

1. Data Science — including Image Analytics, Video Analytics, Building AI/ML-based Prediction Models, etc.
2. Blockchain — based Cryptocurrency and NFT projects.
3. Enterprise-Scale Greenfield Web and Mobile Application Development, Integration, eCommerce, Marketing, and Content Management projects.

We are looking for a Data Scientist to join our fast-growing team.

The candidate must have:

• 3–4 years’ experience in Data Modeling in Python and AI/ML.
• Hands-on experience with Machine Learning and Deep Learning techniques and tools. Tools: RAG, LLMs, Agentic AI, Langchain, Langgraph, PyTorch, OpenCV, Pandas, Scikit Learn, CrewAI, Autogen or AI chatbots. Proven ability to use/create algorithms and run simulations. Experience: Minimum 1–1.5 years or 2 projects. A technical understanding of Microservice Architectures is a plus.
• Good knowledge of Azure Platform for deployment.
• Good knowledge of web frameworks such as Flask.
• Hands-on knowledge on a NoSQL database (Maria DB, Mongo DB, etc.).
• Experience in Visualization of Data using tools like D3.js, Plotly, Power BI, and Tableau. Experience in visualizing large data is a plus.
• Experience using a variety of data mining/data analysis methods with the ability to drive business results using data-based insights and work with large data sets.
• Comfortable working with a wide range of stakeholders and functional teams.
• Good designing skills and communication skills.
• Good knowledge of front-end technologies (HTML, CSS, etc.) would be an advantage.

About the organization:

Bhanzu is a Math EdTech company which has recently raised a Series B round led by Epiq Capital with participation from Z3 partners and existing investors and is rapidly scaling across geographies with online live classes and games.

About the Founder & CEO - Neelakantha Bhanu

Neelakantha Bhanu Prakash is the world's fastest human calculator and India’s mental math Olympic Gold Medalist. Alongside holding four world records and 50 Limca book records, Mr. Bhanu is also a TEDx speaker and educator. He believes that the skill he has been gifted with can be passed on and taught using the right methodology and initiates in the same direction. Giving his vision of completely eradicating Math phobia a head start, Mr. Bhanu has led numerous projects for developing Arithmetic skills in students across the globe.

He has addressed audiences across 23 countries at the Commonwealth Conclaves, Future city Summits, ISB, IITs, and Multiple other global institutions and meets about the importance of Arithmetic learning in the overall development of a child.

Website:-  https://www.bhanzu.com/

Role: Marketing Intern (WFO)

Location: Bangalore, HSR Layout.

Key Responsibilities:

1.  Collect, organize, and maintain data for marketing activities.
2.  Ensure accuracy and timely updates of information and projects
3.  Conduct market research and competitor analysis.
4.  Provide insights and recommendations based on findings.
5.  Assist in preparing detailed reports for ongoing activities.

Requirements:

1.  Currently pursuing or recently completed a degree in Marketing, Business, or related fields.
2.  Strong organizational and multitasking skills.
3.  Proficiency in MS Office/Google Workspace.
4.  Analytical mindset with attention to detail.
5.  Excellent communication and interpersonal skills.

Note: A Pre-Placement Offer (PPO) will be provided based on performance.

We are looking for a detail-oriented and proactive Logistics Executive to manage and coordinate the movement, storage, and distribution of goods. The ideal candidate will ensure timely deliveries, optimize logistics operations, and maintain cost efficiency while upholding quality and compliance standards.

Key Responsibilities:

• Plan, coordinate, and monitor logistics operations including transportation, warehousing, and inventory management.
• Ensure timely dispatch and delivery of goods as per schedule.
• Negotiate with transporters, freight forwarders, and vendors to optimize cost and efficiency.
• Maintain accurate records of shipments, stock levels, and related documentation.
• Coordinate with internal teams (sales, procurement, production, etc.) to align supply chain processes.
• Track shipments and proactively resolve issues related to delays, damages, or discrepancies.
• Ensure compliance with company policies, legal regulations, and safety standards.
• Prepare daily/weekly/monthly logistics reports for management review.
• Suggest process improvements to enhance efficiency and reduce costs.

Qualifications & Skills:

• Bachelor’s degree in Logistics, Supply Chain, Business Administration, or a related field.
• 1–3 years of experience in logistics, supply chain, or warehouse management (freshers with internships may also be considered).
• Knowledge of logistics software, ERP systems, and MS Office (Excel proficiency is a must).
• Strong communication, negotiation, and problem-solving skills.
• Ability to multitask and work in a fast-paced environment.
• Attention to detail with good organizational skills.

We are seeking a detail-oriented and innovative Chemical Engineer. The ideal candidate will be responsible for designing, developing, and optimizing processes for manufacturing, ensuring safety, quality, sustainability, and efficiency. This role requires strong problem-solving skills and the ability to work in cross-functional teams to improve production systems.

Key Responsibilities:

• Design, develop, and implement chemical processes for production.
• Monitor and optimize plant operations to improve yield, reduce costs, and minimize waste.
• Ensure compliance with health, safety, and environmental regulations.
• Conduct research and feasibility studies to develop new products and processes.
• Collaborate with R&D, production, and quality teams to improve efficiency.
• Troubleshoot technical issues in manufacturing and propose solutions.
• Prepare and maintain technical documentation, reports, and SOPs.
• Implement best practices for sustainability and energy efficiency.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Chemical Engineering (or related field).
• Strong knowledge of chemical processes, thermodynamics, fluid mechanics, and reaction engineering.
• Experience with process simulation tools (e.g., Aspen Plus, HYSYS, MATLAB) is an advantage.
• Good analytical, mathematical, and problem-solving skills.
• Strong communication and teamwork abilities.
• Knowledge of safety standards and environmental regulations.

Hybrid work mode

(Azure) EDW Experience working in loading Star schema data warehouses using framework

architectures including experience loading type 2 dimensions. Ingesting data from various

sources (Structured and Semi Structured), hands on experience ingesting via APIs to lakehouse architectures.

Key Skills: Azure Databricks, Azure Data Factory, Azure Datalake Gen 2 Storage, SQL (expert),

Python (intermediate), Azure Cloud Services knowledge, data analysis (SQL), data warehousing,documentation – BRD, FRD, user story creation.

Data Analysis visual tools (PowerBI, Streamlit, Dash, etc)

SQL, Python Scripting is mandatory

Cloud knowledge (AWS, etc)

Experience in BFSI domain is must.

Location: Bangalore – Hebbal – 5 Days - WFO

Type:  Contract – 6 Months to start with, extendable

Experience Required: 5+ years in Data Analysis, with ERP migration experience

Key Responsibilities:

• Analyze and map data from SAP to JD Edwards structures.
• Define data transformation rules and business logic.
• Assist with data extraction, cleansing, and enrichment.
• Collaborate with technical teams to design and execute ETL processes.
• Perform data validation and reconciliation before and after migration.
• Work closely with business stakeholders to understand master and transactional data requirements.
• Support the creation of reports to validate data accuracy in JDE.
• Document data mapping, cleansing rules, and transformation processes.
• Participate in testing cycles and assist with UAT data validation.

Required Skills and Qualifications:

• Strong experience in SAP ERP data models (FI, MM, SD, etc.).
• Knowledge of JD Edwards EnterpriseOne data structure is a plus.
• Proficiency in Excel, SQL, and data profiling tools.
• Experience in data migration tools like SAP BODS, Talend, or Informatica.
• Strong analytical, problem-solving, and documentation skills.
• Excellent communication and collaboration skills.
• ERP migration project experience is essential.

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Position : Senior Data Analyst

Experience Required : 5 to 8 Years

Location : Hyderabad or Bangalore (Work Mode: Hybrid – 3 Days WFO)

Shift Timing : 11:00 AM – 8:00 PM IST

Notice Period : Immediate Joiners Only

Job Summary :

We are seeking a highly analytical and experienced Senior Data Analyst to lead complex data-driven initiatives that influence key business decisions.

The ideal candidate will have a strong foundation in data analytics, cloud platforms, and BI tools, along with the ability to communicate findings effectively across cross-functional teams. This role also involves mentoring junior analysts and collaborating closely with business and tech teams.

Key Responsibilities :

• Lead the design, execution, and delivery of advanced data analysis projects.
• Collaborate with stakeholders to identify KPIs, define requirements, and develop actionable insights.
• Create and maintain interactive dashboards, reports, and visualizations.
• Perform root cause analysis and uncover meaningful patterns from large datasets.
• Present analytical findings to senior leaders and non-technical audiences.
• Maintain data integrity, quality, and governance in all reporting and analytics solutions.
• Mentor junior analysts and support their professional development.
• Coordinate with data engineering and IT teams to optimize data pipelines and infrastructure.

Must-Have Skills :

• Strong proficiency in SQL and Databricks
• Hands-on experience with cloud data platforms (AWS, Azure, or GCP)
• Sound understanding of data warehousing concepts and BI best practices

Good-to-Have :

• Experience with AWS
• Exposure to machine learning and predictive analytics
• Industry-specific analytics experience (preferred but not mandatory)

Looking for an analytical and detail-oriented research analyst to assist in improving the operations and decision-making of our business. The research analyst's responsibilities include researching, collecting, analyzing, and interpreting data, and using the data to guide the business's decision-making. A research analyst should be prepared to work in various sectors, such as marketing, business operations, and finance.

To be a successful research analyst, you should have excellent mathematical, critical thinking, and communication skills. You should be flexible and able to work independently or in a team.

Responsibilities:

• Analyzing past operations' results and performing variance analyses.
• Identifying and analyzing trends and forecasts and recommending improvements to the business processes.
• Researching market trends, conducting surveys, analyzing data from competitors, and analyzing the business's operations, expenditures, and customer retention to identify patterns of potential issues or improvements.
• Using data analysis and interpretations to guide the decision-making of the business.
• Using operations data to develop pricing models and identify areas for improvement.
• Using statistical, economic, and data modeling techniques and tools.
• Organizing and analyzing data, creating charts and graphs, and presenting your findings to the leadership team.
• Providing recommendations to improve future business operations.
• Organizing and storing data for future research projects.
• Testing processes, policies, and protocols for efficiency and improvements.

Key Responsibilities

🖥️ Frontend (Angular)

• Develop responsive, accessible web UI for assessment tools, educator dashboards, and parent reports.
• Implement dynamic form builders and scoring interfaces for multiple domains (reading, writing, math).
• Build PDF report previews, filtering tools, and real-time updates.

🔙 Backend (Python/FastAPI)

• Design and implement APIs for user management, assessments, intervention logs, and reports.
• Integrate scoring logic and data aggregation for AI insights.
• Implement secure role-based access (admin, educator, parent).

🛠️ DevOps / Systems

• Maintain scalable architecture with PostgreSQL / MongoDB, Docker, and deployment pipelines.
• Work with AI engineer to connect ML models to backend for prediction and recommendation layers.
• Optimize performance and ensure data security (GDPR-aligned).

Role & Responsibilities

Extract insights from large datasets to support data-driven decision-making

Develop and automate routine dashboards for daily, weekly, and monthly KPI tracking

Conduct custom analyses to optimize user onboarding, activation, conversion, and retention funnels

Cohort users and track actual and predicted Lifetime Value (LTV)

Build forecast models and create meaningful alerts for business leaders

Collaborate with cross-functional teams to define short and long-term strategic focus areas

Provide actionable insights and recommendations to relevant teams

Create, standardize and maintain documentation frameworks and taxonomy across businesses

Ideal Candidate

Expertise in data analysis tools (SQL, Excel, Python, R), dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels

Excellent communication skills with the ability to influence stakeholders at all levels with the agility to work autonomously and collaboratively within a team environment

Proven ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders

Strong background in statistical analysis and experimental design for robust hypothesis testing

Experience with A/B testing tools and methodologies in digital product environments

Skill in creating and maintaining comprehensive documentation systems

As a B2B Marketer, you will handle marketing efforts for brand awareness. As well as, lead generation, web site development and content curation/creation, and sales collateral.

Roles and Responsibilities

• Design content marketing strategies and set short-term goals.
• Online and offline marketing: hands-on experience with digital media, including SEM, display, social, email, and affiliate channels.
• Experience working with a sales team in both Sales Enablement and Account-Based Approach.
• Knowledge of Demand Generation tactics and Lead Conversion principles.
• Understanding of A/B and multivariate testing, user segmentation, and reporting processes.
• Ability to create value propositions that communicate clearly to targeted audiences.
• Extensive experience creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.
• Accomplished at leveraging full value from marketing automation processes and tools.

Requirements

• Degree in Marketing or relevant field.
• 3+ years of hands-on marketing experience in a B2B role.
• Excellent understanding of B2B marketing.
• Demonstrated ability to manage the budgeting process and use of analytical skills.
• Proven track record in delivering marketing campaigns that drive sales growth.
• Ability to remotely create and manage marketing strategies.
• An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.
• Excellent communication skills.

Seeking a detail-oriented Market Research Analyst to conduct surveys and analyze customer preferences and statistical data. Your role will involve providing valuable insights to support customers in their decision-making processes related to product designs, pricing, and promotions. As a successful Market Research Analyst, you will have the ability to independently analyze qualitative data, identify trends, assess strategies, and evaluate competition, with the ultimate goal of enhancing competitiveness. Your responsibilities will include gathering and interpreting market research data, generating reports, and presenting findings to stakeholders. We are looking for a self-motivated professional with strong analytical skills and a deep understanding of market dynamics. Join our team and contribute to our company’s success by helping us make data-driven decisions to optimize our products and strategies.

Looking for an experienced Product Manager to work in abroad countries who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy.

Key Responsibilities:

Product Strategy and Vision:

• Develop and communicate a product vision and strategy aligned with the company's overall business objectives.
• Conduct market research, gather customer feedback, and analyze trends to inform the product roadmap.
• Define product goals and key performance indicators (KPIs) to track success.

Product Roadmap:

• Create and maintain a detailed product roadmap, setting priorities based on customer needs, business goals, and resource constraints.
• Balance short-term needs with long-term vision and strategic goals.

Cross-functional Collaboration:

• Work closely with engineering, design, and marketing teams to ensure successful product development and launch.
• Facilitate communication between stakeholders, ensuring everyone is aligned on product requirements, timelines, and goals.

Product Development:

• Write clear and actionable product requirements (PRDs) and user stories.
• Define features, prioritize enhancements, and manage the product backlog.
• Ensure the product development process is efficient and follows Agile or other relevant methodologies.

Customer Focus:

• Conduct user research, surveys, and interviews to understand customer pain points and gather feedback.
• Analyze data and product usage to identify opportunities for improvement or new features.
• Develop customer personas and use cases to guide product decisions.

Go-to-Market Strategy:

• Work with the marketing and sales teams to create product launch strategies, including pricing, messaging, and promotional campaigns.
• Train internal teams on product features and benefits to support successful product adoption.

Lifecycle Management:

• Oversee the product's life cycle, from ideation and design through to release, iteration, and eventual retirement.
• Monitor product performance, gather user feedback, and drive continuous improvement.

Stakeholder Management:

• Serve as the primary point of contact for product-related queries across the organization.
• Present product updates, progress, and results to senior leadership and stakeholders.

A Financial Research Analyst is responsible for gathering, analyzing, and interpreting financial data to support investment decisions, business strategies, or financial forecasting. Their primary role is to provide insights and recommendations based on their research to help guide the organization or clients in making informed financial decisions.

Key Responsibilities:

Data Collection & Analysis:

• Gather financial data from various sources (e.g., financial statements, market reports, industry trends, etc.).
• Analyze financial information, including profit and loss statements, balance sheets, and cash flow reports.

Market and Industry Research:

• Research industry trends, economic conditions, and market conditions to identify investment opportunities or risks.
• Track competitor performance and benchmarking.

Financial Modeling and Forecasting:

• Build and maintain financial models to project future performance, such as forecasting revenue and expenses.
• Use quantitative tools to evaluate investment options and potential financial outcomes.

Report Creation:

• Prepare detailed reports summarizing findings, analyses, and recommendations for internal stakeholders or clients.
• Present research findings to management, clients, or investors in a clear and concise manner.

Investment Recommendations:

• Provide recommendations for investment opportunities, such as stocks, bonds, or alternative investments.
• Assist with the evaluation of portfolios and asset management strategies.

Risk Assessment:

• Assess financial risks related to investments, projects, or business decisions.
• Recommend risk management strategies based on data analysis.

Collaboration & Communication:

• Work closely with other teams, such as investment managers, accountants, or business strategists, to align research with broader business objectives.
• Communicate findings and insights clearly to both financial and non-financial stakeholders.

We are looking for a detail-oriented Business Analyst with expertise in Tableau, statistics, SQL, and Excel. The role involves data analysis, creating interactive dashboards, and providing actionable insights to support business decisions and improve operations.

Key Responsibilities:

• Data Analysis & Visualization: Use Tableau for dashboards and conduct statistical analysis.
• SQL & Data Management: Write and optimize SQL queries, ensure data accuracy.
• Reporting: Develop Excel spreadsheets, analyze business processes, and provide reports.
• Collaboration: Work with cross-functional teams to gather requirements and deliver insights.
• Project Management: Manage multiple projects, deliver timely reports, and support teams with data insights.

Role: Data Analyst (Apprentice - 1 Year contract)

Location: Bangalore, Hybrid Model

Job Summary: Join our team as an Apprentice for one year and take the next step in your career while supporting FOX’s unique corporate services and Business Intelligence (BI) platforms. This role offers a fantastic opportunity to leverage your communication skills, technical expertise, analytical and problem-solving competencies, and customer-focused experience.

Key Responsibilities:

·     Assist in analyzing and solving data-related challenges.

·     Support the development and maintenance of corporate service and BI platforms.

·     Collaborate with cross-functional teams to enhance user experience and operational efficiency.

·     Participate in training sessions to further develop technical and analytical skills.

·     Conduct research and analysis to identify trends and insights in data.

·     Prepare reports and presentations to communicate findings to stakeholders.

·     Engage with employees to understand their needs and provide support.

·     Contribute insights and suggestions during team meetings to drive continuous improvement.

Qualifications:

·     Bachelor’s degree in Engineering (2024 pass-out).

·     Strong analytical and technical skills with attention to detail.

·     Excellent communication skills, both verbal and written.

·     Ability to work collaboratively in a team-oriented environment.

·     Proactive attitude and a strong willingness to learn.

·     Familiarity with data analysis tools and software (e.g., Excel, SQL, Tableau) is a plus.

·     Basic understanding of programming languages (e.g., Python, R) is an advantage.

Additional Information:

• This position offers a hybrid work model, allowing flexibility between remote and in-office work.
• Opportunities for professional development and skill enhancement through buddy and mentorship.
• Exposure to real-world projects and the chance to contribute to impactful solutions.
• A supportive and inclusive team environment that values diverse perspectives.

Job Description

Understanding the client's requirements and consequently strategizing effective lead generation campaigns accordingly

Being the post-sales SPOC for the client and ensuring optimal lead delivery

Overseeing a team of Telecallers and data entry analysts to ensure client delivery and satisfaction

Working closely with the sales and business development team and communicating campaign feasibility after doing effective due diligence of each proposed campaign

Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

About Qrata:

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

We are currently scouting for Head of Analytics

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

What you will do:

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

Qualification:

• Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
• Proven experience (7+ years) in leading analytics teams in the credit card industry
• Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
• Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
• Experience with analytics tools such as SAS, SPSS, or Tableau
• Excellent leadership and team management skills, with a track record of building and developing high-performing teams
• Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
• Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience

What you can expect:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall business objectives

o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business

o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives

2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms

o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities

o Establish and enforce data privacy and security protocols to comply with regulatory requirements

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning

o Provide guidance and mentorship to the team, promoting professional growth and development

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry

o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools

For more Opportunities Visit: Qrata Opportunities.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Role: Head of Analytics

Location: Bangalore (Full time)

ABOUT QRATA: 

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing startups using Qrata’s talent marketplaces. To sign-up, please visit Qrata Talent Sign-Up 

ABOUT THE COMPANY WE ARE HIRING FOR: 

Our client is offering credit card solutions for banks and financial institutions. It provides services like credit card design and onboarding, credit card authorization, payment processing, collections and dispute resolutions, credit card fraud detection, and more. They serve in the B2B space in the FinTech market segments.

POSITION OVERVIEW 

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modeling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business.

Responsibilities:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall

business objectives.

o Identify key performance indicators (KPIs) and metrics to track the performance

of the credit card business.

o Collaborate with senior management and cross-functional teams to prioritize and

execute analytics initiatives. 2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behavior, and market trends to identify opportunities for business growth and risk mitigation.

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities.

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies.

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information.

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and

integrity across relevant systems and platforms.

o Collaborate with IT teams to optimize data collection, integration, and storage

processes to support advanced analytics capabilities.

o Establish and enforce data privacy and security protocols to comply with

regulatory requirements.

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning.

o Provide guidance and mentorship to the team, promoting professional growth and development.

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives.

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit

card business, and the financial industry.

o Leverage industry best practices to drive innovation and continuous improvement

in analytics methodologies and tools.

Qualifications:

Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field.

Proven experience (7+ years) in leading analytics teams in the credit card industry.

Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques.

Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL.

Experience with analytics tools such as SAS, SPSS, or Tableau.

Excellent leadership and team management skills, with a track record of building and developing high-performing teams.

Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle.

Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience. 

Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur

Notice period: Immediate - 15 days

1.      Python Developer with Snowflake

Job Description :

1. 5.5+ years of Strong Python Development Experience with Snowflake.
2. Strong hands of experience with SQL ability to write complex queries.
3. Strong understanding of how to connect to Snowflake using Python, should be able to handle any type of files
4.  Development of Data Analysis, Data Processing engines using Python
5. Good Experience in Data Transformation using Python. 
6.  Experience in Snowflake data load using Python.
7.  Experience in creating user-defined functions in Snowflake.
8.  Snowsql implementation.
9.  Knowledge of query performance tuning will be added advantage.
10. Good understanding of Datawarehouse (DWH) concepts.
11.  Interpret/analyze business requirements & functional specification
12.  Good to have DBT, FiveTran, and AWS Knowledge.

Profile: Project Manager 

Experience: 6+ years

Education Qualification: Graduate/Postgraduate

Neewee is an Industrial Analytics start-up, focused in making manufacturing visible, transparent, efficient, and autonomous to its clients. 

Started in 2014 our journey has evolved from making manufacturing complexity and risk a thing of the past. 

Bodhee is our in-house product. We are looking for Project Managers to work with our Product team .

Responsibilities:

· Manage technical aspects of projects, including planning, execution, and delivery

· Translate product strategy into detailed requirements for prototype construction and final product development

· Create Functional and Technical specification documents, translate application storyboards and use cases into functional applications

· Track project progress, identify and mitigate risks, and ensure project deliverables are completed on time and within budget

· Delivering new Bodhee features using AGILE delivery programs

· Ensure project quality and adherence to industry standards and best practices

· To act as a single point of contact from the team to Bodhee Stakeholders

· Identify and implement process improvements to increase efficiency and reduce costs

· Promote teamwork, motivate, mentor and develop subordinates

· Manage and take ownership of product including defining scope and developing requirements for product launch

Requirements

· Overall 6+ years’ experience with 3+ years of experience as Project Manager for any development projects and hands-on technical    experience

· Proven experience as a technical project manager, with a track record of delivering projects on time and within budget

· Experience with agile software development methodologies.

· Strong experience with Java and UI design and development

· Strong experience leading development teams utilizing Java and UI technologies.

· Working experience with Data Analytics products is a plus

· Strong understanding of RDBMS and working experience with SQL

· Experience with developing Micro-services Based applications

· Excellent problem-solving and analytical skills

· Excellent communication skills

CTC Budget: 35-55LPA

Location: Hyderabad (Remote after 3 months WFO)

Company Overview:

An 8-year-old IT Services and consulting company based in Hyderabad providing services in maximizing product value while delivering rapid incremental innovation, possessing extensive SaaS company M&A experience including 20+ closed transactions on both the buy and sell sides. They have over 100 employees and looking to grow the team.

• 6 plus years of experience as a Python developer.
• Experience in web development using Python and Django Framework.
• Experience in Data Analysis and Data Science using Pandas, Numpy and Scifi-Kit - (GTH)
• Experience in developing User Interface using HTML, JavaScript, CSS.
• Experience in server-side templating languages including Jinja 2 and Mako
• Knowledge into Kafka and RabitMQ (GTH)
• Experience into Docker, Git and AWS
• Ability to integrate multiple data sources into a single system.
• Ability to collaborate on projects and work independently when required.
• DB (MySQL, Postgress, SQL)

Selection Process: 2-3 Interview rounds (Tech, VP, Client)

Role: Project Manager

Experience: 6+years

Education Qualification: Graduate/Postgraduate

Responsibilities:

• Manage technical aspects of projects, including planning, execution, and delivery

• Translate product strategy into detailed requirements for prototype construction and final product development

• Create Functional and Technical specification documents, translate application storyboards and use cases into functional applications

• Track project progress, identify and mitigate risks, and ensure project deliverables are completed on time and within budget

• Delivering new Bodhee features using AGILE delivery programs

• Ensure project quality and adherence to industry standards and best practices

• To act as a single point of contact from the team to Bodhee Stakeholders

• Identify and implement process improvements to increase efficiency and reduce costs

• Promote teamwork, motivate, mentor and develop subordinates

• Manage and take ownership of product including defining scope and developing requirements for product launch

Requirements

• Overall 6+ years’ experience with 3+ years of experience as Project Manager for any development projects and hands-on technical experience

• Proven experience as a technical project manager, with a track record of delivering projects on time and within budget

• Experience with agile software development methodologies.

• Strong experience with Java and UI design and development

• Strong experience leading development teams utilizing Java and UI technologies.

• Working experience with Data Analytics products is a plus

• Strong understanding of RDBMS and working experience with SQL

• Experience with developing Micro-services Based applications

• Excellent problem solving and analytical skills

• Excellent communication skills

Role - Senior Executive Analytics (BI)

Overview of job -

Our Client is the world’s largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Senior Executive Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength, so we respect and nurture their individual talent and potential.

Reporting of the role - This role reports to the Director - Analytics.

3 best things about the job:

1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients

2. Build and be a part of a dynamic team

3. Being part of a global organisations with rapid growth opportunities

Responsibilities of the role:

• Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python, SQL, Alteryx.

• Work with large data sets via hands-on data processing to produce structured data sets for analysis.

• Good to Have - Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.

What you will need:

• Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science, or quantitative field.

• Proficiency in one or more coding languages – preferred languages: Python, R

• Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI

• Proficiency in using SQL.

• Minimum 3 years of experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models is a plus.

Senior Executive - Analytics

Overview of job :-

Our Client is the world’s largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.

We are currently looking for a Sr Executive – Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength so we respect and nurture their individual talent and potential.

Reporting of the role - This role reports to the Director - Analytics,

3 best things about the job:

1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients

2. Build and be a part of a dynamic team

3. Being part of a global organisations with rapid growth opportunities

Responsibilities of the role:

 Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.

 Work with large data sets via hands-on data processing to produce structured data sets for analysis.

 Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python.

What you will need:

 Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science or quantitative field.

 2-3 years’ experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models.  Proficiency in one or more coding languages – preferred languages: Python, R

 Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI

 Proficiency in using SQL.

 Proficiency with one or more statistical tools is a plus – Example: SPSS, SAS, MATLAB, Mathcad.

 Working experience using big data technologies (Hive/Hadoop) is a plus

Responsibilities

• Work with large and complex blockchain data sets and derive investment relevant metrics in close partnership with financial analysts and blockchain engineers.
• Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various crypto assets.
• Build a strong understanding of existing metrics used to value various decentralized applications and protocols.
• Build customer facing metrics and dashboards.
• Work closely with analysts, engineers, Product Managers and provide feedback as we develop our data analytics and research platform.

Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science)
• 3+ years experience with data analysis and metrics development
• 3+ years experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• 2+ years experience writing SQL queries
• 2+ years experience scripting in Python
• Demonstrated curiosity in and excitement for Web3/blockchain technologies

Responsibilities:

• Lead implementation of companies in key partner institutes
• Own the entire process of onboarding a partner institute
• Define custom made' offerings for the parents of a particular institute
• Single point of contact between the company institute partnerships team, institute management and companies inside sales team
• Account management: Be responsible for anything and everything' in the partner institutes
• Be responsible for parent outreach in the institutes
• Strategize and execute plans for customer acquisition along with the management - events, referrals etc.
• P& L; owner of key accounts
• Take lead in selling and implementing companies full suite of financial and payment solutions in the partner institutes
• Lead the ideation, planning, and execution of these initiatives / projects while working directly with the founding team
• Own execution from strategy design and setup to pilot and eventual scale-up
• Work closely with different teams within the company (sales, marketing, strategy, and product) to execute the project
• Build and lead high-performing teams to scale these initiatives

Requirements:

• Degree from top tier colleges (IITs, IIMs, ISB, BITS etc. ) and 2-6 years of experience in project management, product development, growth, new initiatives at top startups
• Track record of out performance / over-achieving targets in previous work places
• Experience in leading initiatives and delivering results in a time-bound manner
• Prior experience in early stage startups or as a founder is a huge plus
• Prior exposure to B2C or understanding of financial services is a plus

Responsibilities

• To Co-ordinate with regional teams and collect the required data
• Knowledge of advanced MS Excel, Presentation is a must
• Candidate must be able to handle large data sets and handle spreadsheets.
• Good at analyzing the data & Presentation
• Coordination with the team for timely submission of reports, tracking progress
• Understand the reporting model infrastructure and implement streamlined process solutions toward a more efficient reporting model.
• Preparation and analysis of daily, weekly, and monthly reports of different functions and summarizing the same
• Must be able to Generate/Update Reports, Create dashboards, Pivot tables
• Monthly/ Quarterly reconciliations and data cleansing to ensure the integrity of reported numbers.
• Review and investigate trends and provide commentary for management.
• Finding discrepancies in the process and arriving at a resolution

Eligibility

• Proven experience in MIS
• Ability to be self-motivated and self-directed and think and act independently while also being team oriented
• Good follow-up skills, the ability to understand, adaptability to process changes, and a strong sense of importance and ownership
• Good in numbers (Mathematics)
• Good in Excel
• Good communication skills

Personal skills:

Strong interpersonal and team working skills

Self-motivated that is able to work with minimal supervision

Demonstrate strong analytical and problem-solving skills

Ability to communicate effectively at all levels Strong attention to detail

Our client is a Leading Indian consumer electronics start-up and is one of the fastest-growing start-ups. They have also emerged as the fifth largest wearable brand globally. They are super passionate about the impact that they are making in people’s lives and are looking for a fellow self-starter to join our ambitious bunch.

Responsibilities -

• Support analytics roadmap and strategy by ensuring that the landscape is mature, resilient, and flexible to meet the business requirements without deviating from the overall IT vision

• Collaborate with businesses to identify opportunities, and pain areas, incubate analytics product ideas and deliver analytics applications in a digital native manner

• Hold the analytics program together

• Manage the analytics vertical end to end from setting up a platform grounds (a data lake equivalent) and deliver business value through analytics for starters and gradually by bringing in intelligence in everything we do.

• Play a key role in transforming the company into an intelligent enterprise.

• Deliver analytics use cases that directly contributes to our top-line growth

• Be responsible for overall data hygiene, governance, monitoring of data pipelines and

continuously delivering business value through data

Requirements -

• 5 - 7 years experience in a similar role

• Bachelor’s degree in computer science/ analytics

• Master’s degree (business administration/equivalent) with a focus on Analytics, data science

• Good verbal and written communication skills

• Good networking skills

• Thrives in a dynamic, unstructured environment and transcends job boundaries and descriptions.

Job Description:

We are looking for a Business Analyst with strong organizational and planning skills and a proven ability to multitask in a fast-paced environment. We are seeking a high level of motivation and a self-starting attitude, and the ability to work with minimal direction and supervision. The ideal candidate will have a metrics/data-driven analytical mindset of constantly measuring success and driving continuous improvement in tools, content, and programs.

Business Analyst Qualifications / Skills:

• Able to exercise independent judgment and take action on it.
• Excellent analytical, and creative problem-solving skills
• Excellent listening, interpersonal, written, and oral communication skills
• Logical and efficient, with keen attention to detail
• Highly self-motivated and directed.
• Ability to effectively prioritize and execute tasks while under pressure.
• Strong customer service orientation
• Experience working in a team-oriented, collaborative environment.
• BE, MBA Preferable.

Responsibilities:

• Data analysis 
• Business Insights 
• Leadership 
• Influence 
• Strategy 
• Problem structuring 
• Project management

• Designing and overseeing all aspects of our digital marketing department including our marketing database, email, and display advertising campaigns.
• Developing and monitoring campaign budgets.
• Planning and managing our social media platforms.
• Preparing accurate reports on our marketing campaign’s overall performance.
• Coordinating with advertising and media experts to improve marketing results.
• Identifying the latest trends and technologies affecting our industry.
• Evaluating important metrics that affect our website traffic, service quotas, and target audience.
• Working with your team to brainstorm new and innovative growth strategies.
• Overseeing and managing all contests, giveaways, and other digital projects.

• Detailed analysis of weekly viewership data of the Genre/channel/region. Updation of all weekly presentations with accurate analysis.

•  Understanding the pulse of the viewing behavior of the channel/genre/Total TV and having thorough knowledge of TV trends on account of TV/ non TV factors
•  Have detailed in-depth knowledge of every change on the channel (Programming, Storyline or Anchor)
•  Addressing client queries with detailed insights and requirements of communication team and other internal stakeholders
•  Continuous process standardization and improvement
•  Handling various project over and above the above deliveries.