Data Analyst
Bajaj Finserv · Pune Division, Maharashtra, India
- On site
- Full-time
- ₹600,000 / year
- Pune Division, Maharashtra, India
Job highlights
- Drive data-led decisions using Microsoft Fabric & Azure Databricks.
- Develop and manage ETL pipelines and data integration.
- Analyze complex data into readable business insights.
- Ensure data accuracy and adherence to risk policies.
- Resolve production issues and minimize business impact.
About the role
Data Analyst - Bajaj Finserv
Job Purpose
To drive data-led decision-making by leveraging data science and automation tools, with a focus on Microsoft Fabric and Azure Databricks. Designing and implementing ETL pipelines using SQL on Microsoft Fabric.
Duties and Responsibilities
- Databricks Development: Build and manage Databricks notebooks using SQL.
- ETL Development: Design and maintain data integration pipelines in Azure Data Factory and Microsoft Fabric.
- Database Proficiency: Strong knowledge of SQL and experience with relational databases like SQL Server, MySQL, etc.
- Cloud Platform Familiarity (Preferred): Exposure to Azure cloud services and architecture best practices.
- Create, implement, and monitor home loan offers across multiple channels.
- Methodical analysis of data and conversion of complex data into a simple and readable format to enable business decisioning.
- Build, deploy, and maintain data pipelines for offer management.
- Ensure data accuracy, quality, and integrity across automated systems.
- Ensure offers adhere to Risk policies and audit requirements.
Key Decisions / Dimensions
- Making critical decisions during production issues, including root cause analysis, quick fixes, and long-term resolutions.
- Prioritizing and escalating support tasks effectively to minimize downtime and business impact.
Major Challenges
- Translate business requirements into technical solutions.
- Own end-to-end offer management, ensuring on-time execution and adherence to quality standards.
- Develop and maintain robust ETL pipelines and data integration modules across systems.
- Monitor and resolve performance bottlenecks in data workflows and programs.
- Establish best practices, standard operating procedures, and drive their implementation across teams.
- Coordinate with internal teams to troubleshoot and resolve issues efficiently.
- Manage workload through effective planning, prioritization, and progress tracking.
Educational Qualifications
Required Qualifications and Experience
Graduate or Postgraduate in Computer Science, Information Technology, or Data Science/Technologies.
Work Experience
- 0.5–1 year of hands-on data engineering experience.
- Technical Expertise / Skills Keywords:
- Azure Databricks - SQL - Must Have
- Azure Data Factory – For ETL & Data Integrations - Must Have
Key Skills/Competency
- Data Analysis
- SQL
- Microsoft Fabric
- Azure Databricks
- ETL
- Data Pipelines
- Data Integration
- Database Management
- Cloud Platforms
- Problem Solving
Skills & topics
- Data Analyst
- SQL
- Microsoft Fabric
- Azure Databricks
- ETL
- Data Pipelines
- Data Integration
- Data Engineering
- Pune Jobs
- Bajaj Finserv Careers
How to get hired
- Tailor your resume: Highlight your SQL, Azure Databricks, and ETL experience. Quantify achievements in data analysis and pipeline development.
- Craft a strong application: Emphasize your problem-solving skills and ability to translate business needs into technical solutions.
- Prepare for technical questions: Brush up on SQL queries, ETL concepts, and Azure Databricks functionalities.
- Demonstrate business acumen: Showcase your understanding of offer management and data-driven decision-making in finance.
Technical preparation
Master SQL for complex queries and data manipulation.,Practice building ETL pipelines in Azure Data Factory.,Get hands-on with Azure Databricks notebook development.,Understand Microsoft Fabric for data warehousing.
Behavioral questions
Describe a time you solved a complex data problem.,How do you ensure data accuracy and integrity?,Explain how you translate business needs to tech solutions.,How do you prioritize tasks during production issues?
Frequently asked questions
- What are the primary tools used for this Data Analyst role at Bajaj Finserv?
- This Data Analyst position at Bajaj Finserv heavily utilizes Microsoft Fabric and Azure Databricks, with a strong emphasis on SQL for ETL development and data pipeline management.
- What level of experience is required for the Data Analyst job at Bajaj Finserv?
- Bajaj Finserv is seeking candidates with 0.5 to 1 year of hands-on data engineering experience for this Data Analyst role.
- Does this Data Analyst role at Bajaj Finserv involve customer interaction?
- While the primary focus is on data analysis and pipeline development, the role involves creating and monitoring home loan offers across channels, suggesting indirect customer impact through offer management.
- What are the key responsibilities for a Data Analyst at Bajaj Finserv in this role?
- Key responsibilities include building Databricks notebooks, designing ETL pipelines, analyzing data for business decisioning, ensuring data quality, and resolving production issues for offer management systems.
- What educational background is preferred for the Data Analyst position at Bajaj Finserv?
- Bajaj Finserv prefers candidates with a Graduate or Postgraduate degree in Computer Science, Information Technology, or Data Science/Technologies for this Data Analyst role.
- How important is SQL knowledge for this Data Analyst position?
- SQL knowledge is crucial, as it's a 'Must Have' skill for this Data Analyst role at Bajaj Finserv, particularly for Databricks development and ETL pipeline design using Microsoft Fabric.