Data Analyst

Location: Pune / Bengaluru (Hybrid)\nExperience: 6+ Years\nEmployment Type: Full-Time\n\nAbout the Role\nWe 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.\n\nThe 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.\n\nProfessionals currently working as Data Engineers and looking to transition into a Data Analyst role are encouraged to apply.\n\nKey Responsibilities\n• Analyze and interpret large, complex datasets to identify trends, patterns, and business opportunities.\n• Develop and optimize data processing workflows using Python and PySpark.\n• Write and maintain complex SQL queries for data extraction, transformation, and analysis.\n• Collaborate with business stakeholders to understand analytical requirements and deliver data-driven solutions.\n• Design and develop reports, dashboards, and analytical models to support business objectives.\n• Ensure data quality, accuracy, consistency, and governance across datasets.\n• Present analytical findings and recommendations to technical and non-technical stakeholders.\n• Support strategic initiatives through advanced data analysis and insights generation.\n\nRequired Skills & Experience\n\nMandatory Skills\n• 6+ years of experience in Data Analytics, Data Engineering, Business Intelligence, or related fields.\n• Strong hands-on experience with Python.\n• Extensive experience with PySpark for large-scale data processing.\n• Advanced SQL expertise, including complex query development and performance optimization.\n• Mandatory experience in Banking, Financial Services, and Insurance (BFSI) domain.\n• Strong analytical, problem-solving, and data interpretation skills.\n• Experience working with large-scale enterprise data environments.\n• Ability to effectively engage with business and technology stakeholders.\nPreferred Background\n• Experience in data warehousing, ETL, and data pipeline development.\n• Prior experience supporting analytics initiatives within banking, financial services, or insurance organizations.\n• Data Engineers interested in moving into an analytics-focused role are welcome.\n\nWhy Join Us?\n• Opportunity to work on enterprise-scale data and analytics programs.\n• Exposure to cutting-edge data technologies and modern analytics platforms.\n• Collaborative and innovation-driven work environment.\n• Strong career growth and learning opportunities.\n• Opportunity to directly influence business outcomes through data-driven insights.\n\nKeywords\nData Analyst | Python | PySpark | SQL | BFSI | Banking | Financial Services | Insurance | Data Analytics | Business Intelligence | Data Engineering | Data Warehouse | ETL | Reporting | Data Insights | Stakeholder Management