Data Analyst

About Company

About Client:

• Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.
• Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.
• Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

Job Title:- Data Analyst

• Location

  : PAN India

• Experience

  : 9

• Job Type

  : Contract to hire.

• Notice Period

  :- Immediate joiners.

• Mandatory Skills:

  data analysis, SQL and Python , Azure Data Factory and Databricks

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.