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Posted 14 June, 2026

Data Analyst

Idyllic Services
Agra, UP, IN Full Time
Reference: 8be4697d313902f5

Job Description Location: Pune / Bengaluru (Hybrid) Experience: 6+ Years Employment Type: Full-Time About the Role We are seeking an...

Job Description

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

This listing expired on 16 Jun. Applications are no longer accepted.

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