Data Analyst

Description :

Experience : 3+ Years

Job Type : Full-time

Location : Sion, Mumbai (On-site)

Also Apply at : https://wohlig.keka.com/careers/jobdetails/122580

The Opportunity :

We are a global technology consultancy driving large-scale digital transformations for the Fortune 500. As a strategic partner to Google, we help enterprise clients navigate complex data landscapes migrating legacy systems to the cloud, optimizing costs, and turning raw data into executive-level insights.

We are seeking a Data Analyst who acts less like a technician and more like a Data Consultant. You will blend deep technical expertise in SQL and ETL with the soft skills required to tell compelling data stories to non-technical stakeholders.

What You Will Do :

- Strategic Cloud Data Architecture : Lead high-impact data migration projects. You will assess a client's legacy infrastructure and design the logic to move it to the cloud efficiently (focusing on scalability and security).

- Cost and Performance Optimization : Audit and optimize cloud data warehouses (e.g., BigQuery, Snowflake, Redshift). You will use logical reasoning to hunt down inefficiencies, optimize queries, and restructure data models to save clients significant operational costs.

- End-to-End Data Pipelines (ETL/ELT) : Build and maintain robust data pipelines. Whether its streaming or batch processing, you will ensure data flows seamlessly from source to dashboard using modern frameworks.

- Data Storytelling & Visualization : This is critical. You will build dashboards (Looker, Tableau, PowerBI) that don't just show numbers but answer business questions. You must be able to present these findings to C-suite clients with clarity and confidence.

- Advanced Analytics : Apply statistical rigor and logical deduction to solve unstructured business problems (e.g., Why is our user retention dropping?).

What We Are Looking For :

1. Core Competencies :

- Logical Reasoning : You possess a deductive mindset. You can break down ambiguous client problems into solvable technical components without needing hand-holding.

- Advanced SQL Mastery : You are fluent in complex SQL (Window functions, CTEs, stored procedures) and understand how to write query-efficient code for massive datasets.

- Communication Skills : You are an articulate storyteller who can bridge the gap between engineering jargon and business value.

2. Technical Experience :

- Cloud Proficiency : 3+ years of experience working within a major public cloud ecosystem (GCP, AWS, or Azure). Note : While we primarily use Google Cloud (BigQuery, Looker), we value strong architectural fundamentals over specific tool knowledge.

- Data Engineering & ETL : Experience with big data processing tools (e.g., Spark, Apache Beam, Databricks, or cloud-native equivalents).

- Visualization : Proven mastery of at least one enterprise BI tool (Looker, Tableau, PowerBI, Qlik).

Why Join us ?

- Cross-Cloud Exposure : While our current focus is GCP, your foundational skills will be challenged and expanded across various tech stacks.

- Client Impact : You aren't just writing code in a back room; you are the face of our data capability, directly advising clients on how to run their businesses better.

- Growth : We offer a structured career path with sponsorship for cloud certifications (Google Professional Data Engineer, etc.).

• Strong Behavioral Data Analyst Profiles
• Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
• Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
• Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
• Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
• Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
• Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
• Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
• Mandatory (Note): Don't want data analysis but business/product/user analyst

Company Description

UpSolve Solutions is a company specializing in Video and Text Analytics to drive business decisions. We aim to solve business problems that are taking more time and resources than expected, and turn them into opportunities for growth and improvement. We are located in Pune and offer innovative solutions to help businesses succeed.

Role Description

This is a full-time on-site role for a QlikView Developer. As a QlikView Developer, you will be responsible for developing data models, creating dashboards, and utilizing your analytical skills. You will also work with data warehousing and ETL (Extract Transform Load) processes to ensure effective data management. You will be an integral part of our team in Pune.

Qualifications

• Data Modeling and Dashboard development skills
• Strong analytical skills
• Experience in data warehousing and ETL processes
• Proficiency in QlikView development
• Good understanding of business requirements and data analysis
• Excellent problem-solving and communication skills
• Experience in the software industry is a plus
• Bachelor's degree in Computer Science, Information Technology, or related field

Data Engineer

Brief Posting Description:

This person will work independently or with a team of data engineers on cloud technology products, projects, and initiatives. Work with all customers, both internal and external, to make sure all data related features are implemented in each solution. Will collaborate with business partners and other technical teams across the organization as required to deliver proposed solutions.

Detailed Description:

·        Works with Scrum masters, product owners, and others to identify new features for digital products.

·        Works with IT leadership and business partners to design features for the cloud data platform.

·        Troubleshoots production issues of all levels and severities, and tracks progress from identification through resolution.

·        Maintains culture of open communication, collaboration, mutual respect and productive behaviors; participates in the hiring, training, and retention of top tier talent and mentors team members to new and fulfilling career experiences.

·        Identifies risks, barriers, efficiencies and opportunities when thinking through development approach; presents possible platform-wide architectural solutions based on facts, data, and best practices.

·        Explores all technical options when considering solution, including homegrown coding, third-party sub-systems, enterprise platforms, and existing technology components.

·        Actively participates in collaborative effort through all phases of software development life cycle (SDLC), including requirements analysis, technical design, coding, testing, release, and customer technical support.

·        Develops technical documentation, such as system context diagrams, design documents, release procedures, and other pertinent artifacts.

·        Understands lifecycle of various technology sub-systems that comprise the enterprise data platform (i.e., version, release, roadmap), including current capabilities, compatibilities, limitations, and dependencies; understands and advises of optimal upgrade paths.

·        Establishes relationships with key IT, QA, and other corporate partners, and regularly communicates and collaborates accordingly while working on cross-functional projects or production issues.

Job Requirements:

EXPERIENCE:

2 years required; 3 - 5 years preferred experience in a data engineering role.

2 years required, 3 - 5 years preferred experience in Azure data services (Data Factory, Databricks, ADLS, Synapse, SQL DB, etc.)

EDUCATION:

Bachelor’s degree information technology, computer science, or data related field preferred

SKILLS/REQUIREMENTS:

Expertise working with databases and SQL.

Strong working knowledge of Azure Data Factory and Databricks

Strong working knowledge of code management and continuous integrations systems (Azure DevOps or Github preferred)

Strong working knowledge of cloud relational databases (Azure Synapse and Azure SQL preferred)

Familiarity with Agile delivery methodologies

Familiarity with NoSQL databases (such as CosmosDB) preferred.

Any experience with Python, DAX, Azure Logic Apps, Azure Functions, IoT technologies, PowerBI, Power Apps, SSIS, Informatica, Teradata, Oracle DB, and Snowflake preferred but not required.

Ability to multi-task and reprioritize in a dynamic environment.

Outstanding written and verbal communication skills

Working Environment:

General Office – Work is generally performed within an office environment, with standard office equipment. Lighting and temperature are adequate and there are no hazardous or unpleasant conditions caused by noise, dust, etc. 

physical requirements:                     

Work is generally sedentary in nature but may require standing and walking for up to 10% of the time. 

Mental requirements:

Employee required to organize and coordinate schedules.

Employee required to analyze and interpret complex data.

Employee required to problem-solve. 

Employee required to communicate with the public.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

• Integrate gates into CI/CD pipeline and push all flaws/issues to developers IDE (as far left as possible) - ideally in code repo but required by the time code is in the artifact repository.

• Demonstrable experience in Containerization-Docker and orchestration (Kubernetes)     
• Experience withsetting up self-managed Kubernetes clusters without using any managed cloud offerings like EKS 
• Experience working withAWS - Managing AWS services - EC2, S3, Cloudfront, VPC, SNS, Lambda, AWS Autoscaling, AWS IAM, RDS, EBS, Kinesis, SQS, DynamoDB, Elastic Cache, Redshift, Cloudwatch, Amazon Inspector. 

• Familiarity withLinux and UNIX systems (e.g. CentOS, RedHat) and command line system administration such as Bash, VIM, SSH.
• Hands on experience in configuration management of server farms (using tools such asPuppet, Chef, Ansible, etc.,).

• Demonstrated understanding of ITIL methodologies, ITIL v3 or v4 certification
• Kubernetes CKA or CKAD certification nice to have

What you need to have: