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The Power BI Intern will assist the analytics team in using Microsoft Power BI to create interactive dashboards and reports. Working with actual datasets to assist well-informed business decision-making, this position provides practical exposure to data analysis, visualization, and business intelligence techniques.
DATA ANALYST
About:
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We allows customers to "buy now and pay later" for goods and services purchased online and offline portals. It's a rapidly growing organization opening up new avenues of payments for online and offline customers. |
Role:
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Define and continuously refine the analytics roadmap. Build, Deploy and Maintain the data infrastructure that supports all of the analysis, including the data warehouse and various data marts Build, deploy and maintain the predictive models and scoring infrastructure that powers critical decision management systems. Strive to devise ways to gather more alternate data and build increasingly enhanced predictive models Partner with business teams to systematically design experiments to continuously improve customer acquisition, minimize churn, reduce delinquency and improve profitability Provide data insights to all business teams through automated queries, MIS, etc. |
Requirements:
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4+ years of deep, hands-on analytics experience in a management consulting, start-up or financial services, or fintech company. Should have strong knowledge in SQL and Python. Deep knowledge of problem-solving approach using analytical frameworks. Deep knowledge of frameworks for data management, deployment, and monitoring of performance metrics. Hands-on exposure to delivering improvements through test and learn methodologies. Excellent communication and interpersonal skills, with the ability to be pleasantly persistent. |
Location-MUMBAI
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.

Liaising with product teams - Liaising with various product and program managers of Zeta to assess the scope of changes a solution under consideration may require and to arrive at feasible, optimal approaches for all business requirements
Liaising with Engineering teams - Collaborate with engineers and architects to arrive at detailed solutions and implementation plans
Requirements specifications - Review the functional and non-functional requirements, integration and feature specifications, phase releases, and solutions that translate the functional mapping to Zeta’s product landscape.
Functional mapping - Functionally translate and map the business domain to a technological solution domain.
Identify constraints - Highlight any long-term risks that may originate as a consequence of design or architectural choice made in the overall system design leading to an incomplete solution mapping and propose enhancements
Implementation - Oversee the delivery of solutions while highlighting corner cases where the implementation may be lacking. Be the point-of-contact for functional queries that would require domain-specific context to help unblock the team. Work with UAT teams to ensure the comprehensiveness and correctness of the delivered solution
Communicating with internal stakeholders - Describing the structure, characteristics, behaviour, and other aspects of the problem and solution to various project stakeholders
Business Unit
Electron
Products
Electron benefits, Gifting and RnR
Geography
India, with intermittent travel to the client locations
Target Audience
Customer Leadership and the Implementation teams
Business Development teams
Electron benefits, Gifting, RnR and other relevant platform product teams
Activities
Frequently interact with the Product teams to understand the product offerings and roadmap
Become an SME of the functional architecture of the products subscribed by the clients
Work closely with Business Development teams to conceptualize concepts and solutions for clients
Review the BRDs for various requirements shared by clients and the solutioning proposed by the Solution Architects
Participate in the regular sync-up meetings with client implementation teams to discuss solutions and share updates
Conduct workshops with clients to understand requirements in detail
Deliver a detailed functional spec of the overall solution and categorize the proposed solutions into core product deliverables and customizations specific to the clients
Create data flow diagrams to represent the data exchange between various modules
Lead a small but efficient team of BAs/SAs
Reporting Functions
Head of product
Team composition
Solution Architects
Business Analysts
Ability to comprehend technical products and solutions
Excellent presentation skills and stakeholder management
Good experience in conducting workshops with large senior management groups and presenting solutions to a large audience
Ability to learn fast and communicate effectively
Ability to work on complex projects with a medium level of ambiguity
Must be very strong in setting up processes for efficient delivery
Excellent documentation skills are a must. Should be able to create detailed documents with relevant content (Data flow diagrams, flow charts etc)
Should be able to communicate effectively with various stakeholders such as business, product, project management and design
Should have experience in working with stakeholders from different geographies
Should have a track record of building & shipping high-quality products owning the process end to end
Adapting to complex situations with an aim to achieve business goals
Background and experience
Engineer (preferably IT, CS)
MBA (Not a must)
15+ years of total experience as a Solution Architect, Program Manager, consultant or a Data analyst with services, consulting or product companies
Prior experience in handling multiple large global clients for complex projects is a plus.
● Work in a Business Process Outsourcing (BPO) Module providing marketing solutions to different local and international clients and Business Development Units.
● Content Production: Creating content to support demand generation initiatives, and grow brand awareness in a competitive category of an online casino company.
● Writing content for different marketing channels (such as website, blogs, thought leadership pieces, social media, podcasts, webinar, etc.) as assigned to effectively reach the desired target players and marketing goals.
● Data Analysis: Analyze player data to identify trends, improve the player experience, and make data-driven decisions for the casino's operations.
● Research and use AI-based tools to improve and speed up content creation processes.
● Researching content and consumer trends to ensure that content is relevant and appealing.
● Help develop and participate in market research for the purposes of thought leadership content production and opportunities, and competitive intelligence for content marketing.
● Security: Maintain a secure online environment, including protecting player data and preventing cyberattacks.
● Managing content calendars (and supporting calendar management) and ensuring the content you write is consistent with brand standards and meets the brief as-assigned.
● Coordinating with project manager / content manager to ensure the timely delivery of assignments.
● Keeping up to date with content trends, consumer preferences, and advancements in technology.
● Reporting: Generate regular reports on key performance indicators, financial metrics, and operational data to assess the casino's performance.
The specific responsibilities and requirements for a Marketing Content Supervisor/Manager in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards.
Salary
Php80, 000 - Php100, 000
INR 117,587.- 146,960
Work Experience Requirements
Essential Qualifications
● Excellent research, writing, editing, proofreading, content creation and communication skills.
● Proficiency/experience in formulating corporate/brand/product messaging.
● Strong understanding of SEO and content practices.
● Proficiency in MS Office, Zoom, Slack, marketing platforms related to creative content creation/ project management/ workflow.
● Content writing / copywriting portfolio demonstrating scope of content/copy writing capabilities and application of writing and SEO best practices.
● Highly motivated, self-starter, able to prioritize projects, accept responsibility and follow through without close supervision on every step.
● Demonstrated strong analytical skills with an action-oriented mindset focused on data-driven results.
● Experience in AI-based content creation tools is a plus. Openness to research and use AI tools required.
● Passion for learning and self-improvement.
● Detail-oriented team player with a positive attitude.
● Ability to embrace change and love working in dynamic, growing environments.
● Experience with research, content production, writing on-brand and turning thought pieces into multiple content assets by simplifying complex concepts preferred.
● Ability to keep abreast of content trends and advancements in content strategies and technologies.
● On-camera or on-mic experience or desire to speak and present preferred.
● Must be willing to report onsite in Cambodia
About Company:
Working with a multitude of clients populating the FTSE and Fortune 500s, Audit Partnership is a people focused organization with a strong belief in our employees. We hire the best people to provide the best services to our clients.
APL offers profit recovery services to organizations of all sizes across a number of sectors. APL was borne out of a desire to offer an alternative from the stagnant service provision on offer in the profit recovery industry.
Every year we cover million of pounds for our clients and also work closely with them, sharing our audit findings to minimize future losses. Our dedicated and highly experienced audit teams utilize progressive & dynamic financial service solutions & industry leading technology to achieve maximum success.
We provide dynamic work environments focused on delivering data-driven solutions at a rapidly increased pace over traditional development. Be a part of our passionate and motivated team who are excited to use the latest in software technologies within financial services.
Headquartered in the UK, we have expanded from a small team in 2002 to a market leading organization serving clients across the globe while keeping our clients at the heart of all decisions we make.
Job description:
We are looking for a high-potential, enthusiastic SQL Data Engineer with a strong desire to build a career in data analysis, database design and application solutions. Reporting directly to our UK based Technology team, you will provide support to our global operation in the delivery of data analysis, conversion, and application development to our core audit functions.
Duties will include assisting with data loads, using T-SQL to analyse data, front-end code changes, data housekeeping, data administration, and supporting the Data Services team as a whole. Your contribution will grow in line with your experience and skills, becoming increasingly involved in the core service functions and client delivery. A self-starter with a deep commitment to the highest standards of quality and customer service. We are offering a fantastic career opportunity, working for a leading international financial services organisation, serving the world’s largest organisations.
What we are looking for:
- 1-2 years of previous experience in a similar role
- Data analysis and conversion skills using Microsoft SQL Server is essential
- An understanding of relational database design and build
- Schema design, normalising data, indexing, query performance analysis
- Ability to analyse complex data to identify patterns and detect anomalies
- Assisting with ETL design and implementation projects
- Knowledge or experience in one or more of the key technologies below would be preferable:
- Microsoft SQL Server (SQL Server Management Studio, Stored Procedure writing etc)
- T-SQL
- Programming languages (C#, VB, Python etc)
- Use of Python to manipulate and import data
- Experience of ETL/automation advantageous but not essential (SSIS/Prefect/Azure)
- A self-starter who can drive projects with minimal guidance
- Meeting stakeholders to agree system requirements
- Someone who is enthusiastic and eager to learn
- Very good command of English and excellent communication skills
Perks & Benefits:
- A fantastic work life balance
- Competitive compensation and benefits
- Exposure of working with Fortune 500 organization
- Expert guidance and nurture from global leaders
- Opportunities for career and personal advancement with our continued global growth strategy
- Industry leading training programs
- A working environment that is exciting, fun and engaging
- Total Experience of 7-10 years and should be interested in teaching and research
- 3+ years’ experience in data engineering which includes data ingestion, preparation, provisioning, automated testing, and quality checks.
- 3+ Hands-on experience in Big Data cloud platforms like AWS and GCP, Data Lakes and Data Warehouses
- 3+ years of Big Data and Analytics Technologies. Experience in SQL, writing code in spark engine using python, scala or java Language. Experience in Spark, Scala
- Experience in designing, building, and maintaining ETL systems
- Experience in data pipeline and workflow management tools like Airflow
- Application Development background along with knowledge of Analytics libraries, opensource Natural Language Processing, statistical and big data computing libraries
- Familiarity with Visualization and Reporting Tools like Tableau, Kibana.
- Should be good at storytelling in Technology
Qualification: B.Tech / BE / M.Sc / MBA / B.Sc, Having Certifications in Big Data Technologies and Cloud platforms like AWS, Azure and GCP will be preferred
Primary Skills: Big Data + Python + Spark + Hive + Cloud Computing
Secondary Skills: NoSQL+ SQL + ETL + Scala + Tableau
Selection Process: 1 Hackathon, 1 Technical round and 1 HR round
Benefit: Free of cost training on Data Science from top notch professors
- 10 + years of experience and expertise in database and systems architecture design, development and implementation;
- Expertise and experience in data structures, indexing, query, and retrieval;
- Excellent data management skills including ensuring data integrity, data access, security and archiving procedures;
- Knowledge of the language technology and video extraction research domains to be able to converse fluently with the research communities to transform research requirements into concrete formalisms.
- Experience in cross platform development for multiple variants of Unix, Linux including 32 and 64 bit
- Experience with NoSQL, SQL databases, statistics and algorithms
- Strong oral and written communication skills
- Design, implement and test novel database architecture designs to accommodate the multimodal data types used in Client managed technology evaluations
- Administer and monitor database and address data security solutions as applicable
- Design and develop efficient techniques for fast, optimized data access and transfer of distributed or networked database systems
- Design, implement and test novel data structures, data search, query and retrieval solutions to enable access to and processing of the multimodal data types used in Client managed technology evaluations
Experience: 12 - 20 years
Responsibilities :
The Cloud Solution Architect/Engineer specializing in migrations is a cloud role in the project delivery cycle with hands on experience migrating customers to the cloud.
Demonstrated experience in cloud infrastructure project deals for hands on migration to public clouds such as Azure.
Strong background in linux/Unix and/or Windows administration
Ability to use wide variety of open source technologies.
Closely work with Architects and customer technical teams in migrating applications to Azure cloud in Architect Role.
Mentor and monitor the junior developers and track their work.
Design as per best practices and insustry standard coding practices
Ensure services are built for performance, scalability, fault tolerance and security with reusable patterns.
Recommend best practises and standards for Azure migrations
Define coding best practices for high performance and guide the team in adopting the same
Skills:
Mandatory:
Experience with cloud migration technologies such as Azure Migrate
Azure trained / certified architect – Associate or Professional Level
Understanding of hybrid cloud solutions and experience of integrating public cloud into tradition hosting/delivery models
Strong understanding of cloud migration techniques and workflows (on premise to Cloud Platforms)
Configuration, migration and deployment experience in Azure apps technologies.
High Availability and Disaster recovery implementations
Experience architecting and deploying multi-tiered applications.
Experience building and deploying multi-tier, scalable, and highly available applications using Java, Microsoft and Database technologies
Experience in performance tuning, including the following ; (load balancing, web servers, content delivery Networks, Caching (Content and API))
Experience in large scale data center migration
Experience of implementing architectural governance and proactively managing issues and risks throughout the delivery lifecycle.
Good familiarity with the disciplines of enterprise software development such as configuration & release management, source code & version controls, and operational considerations such as monitoring and instrumentation
Experience of consulting or service provider roles (internal, or external);
Experience using database technologies like Oracle, MySQL and understanding of NoSQL is preferred.
Experience in designing or implementing data warehouse solutions is highly preferred.
Experience in automation/configuration management using Puppet, Chef, Ansible, Saltstack, Bosh, Terraform or an equivalent.
Experience with source code management tools such as GitHub, GitLab, Bitbucket or equivalent
Experience with SQL and NoSQL DBs such as SQL, MySQL.
Solid understanding of networking and core Internet Protocols such as TCP/IP, DNS, SMTP, HTTP and routing in distributed networks.
A working understanding of code and script such as: PHP, Python, Perl and/or Ruby.
A working understanding with CI/CD tools such as Jenkins or equivalent
A working understanding of scheduling and orchestration with tools such as: kubernetes, Mesos swarm or equivalent.






