Data Analyst

📍 Location: Pune / Bengaluru (Hybrid)

💼 Experience: 6+ Years

🏢 Employment Type: Full-Time

About the Role

We are seeking an experienced Data Analyst with strong expertise in Python, PySpark, and SQL to support large-scale data analytics initiatives within the Banking, Financial Services, and Insurance (BFSI) domain.

The ideal candidate will possess strong analytical capabilities, hands-on experience working with complex datasets, and the ability to translate business requirements into actionable insights that drive strategic decision-making.

Professionals currently working as Data Engineers and looking to transition into a Data Analyst role are encouraged to apply.

Key Responsibilities

• Analyze and interpret large, complex datasets to identify trends, patterns, and business opportunities.

• Develop and optimize data processing workflows using Python and PySpark.

• Write and maintain complex SQL queries for data extraction, transformation, and analysis.

• Collaborate with business stakeholders to understand analytical requirements and deliver data-driven solutions.

• Design and develop reports, dashboards, and analytical models to support business objectives.

• Ensure data quality, accuracy, consistency, and governance across datasets.

• Present analytical findings and recommendations to technical and non-technical stakeholders.

• Support strategic initiatives through advanced data analysis and insights generation.

Required Skills & Experience

Mandatory Skills

• 6+ years of experience in Data Analytics, Data Engineering, Business Intelligence, or related fields.

• Strong hands-on experience with Python.

• Extensive experience with PySpark for large-scale data processing.

• Advanced SQL expertise, including complex query development and performance optimization.

• Mandatory experience in Banking, Financial Services, and Insurance (BFSI) domain.

• Strong analytical, problem-solving, and data interpretation skills.

• Experience working with large-scale enterprise data environments.

• Ability to effectively engage with business and technology stakeholders.

Preferred Background

• Experience in data warehousing, ETL, and data pipeline development.

• Prior experience supporting analytics initiatives within banking, financial services, or insurance organizations.

• Data Engineers interested in moving into an analytics-focused role are welcome.

Why Join Us?

• Opportunity to work on enterprise-scale data and analytics programs.

• Exposure to cutting-edge data technologies and modern analytics platforms.

• Collaborative and innovation-driven work environment.

• Strong career growth and learning opportunities.

• Opportunity to directly influence business outcomes through data-driven insights.

Keywords

Data Analyst | Python | PySpark | SQL | BFSI | Banking | Financial Services | Insurance | Data Analytics | Business Intelligence | Data Engineering | Data Warehouse | ETL | Reporting | Data Insights | Stakeholder Management