Data Analyst

About Company :

Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida.

· Job Title: "Data Analyst".

· Location: Pune or Pan India.

· Experience: 7 + Year's.

· Job Type : Contract to hire.

· Notice Period:- Immediate joiner's.

• Mandatory Skill Experience :

• Data Analyst

  , Data Designer's,

  Data Analysis, Data Quality

  , RSA,

  SQL, Python, Azure Data Factory and Data Bricks.

• Must Have Insurance Domain.

Role Overview

We are looking for two senior Data Analysts to support the RSA Pricing Sophistication Program by performing data profiling, mapping, and quality analysis on complex insurance datasets.

Key Responsibilities

· Analyze and map source data from multiple insurance systems (policy, claims, quotes, pricing).

Perform data profiling and data quality (DQ) checks using SQL, Python, and Azure tools.

· Collaborate with Data Designers to translate business requirements into technical mappings.

· Document data lineage, transformation logic, and quality rules.

· Support the development of DQ dashboards and reconciliation reports.

· Participate in sprint planning and agile ceremonies to ensure timely delivery of data artifacts.

Required Skills

6+ years of experience in data analysis and profiling.

· Strong SQL and Python skills; experience with Azure Data Factory and Databricks preferred.

· Familiarity with data quality frameworks and tools.

· Experience in insurance domain data is highly desirable.

· Strong analytical and documentation skills.