Job Summary For a key client in the Insurance sector, we are seeking a hands-on Data Analyst to work closely with platform teams, Data Architecture, Data Modelling, and Engineering teams. In this role, you will act as a vital bridge between business requirements and technical specifications. You will be responsible for extracting and characterizing data, executing detailed source-to-target mappings, and supporting the design and development of robust data products and reporting solutions.

A primary focus of this engagement involves building a Single Customer View (SCV), requiring practical experience with Master Data Management (MDM), survivorship, data enrichment, and mapping from multiple source systems onto a common customer data model.

Responsibilities

- Data Analysis &
- Source Characterization: Analyze complex data sources received from Business Analysts and business stakeholders; extract and characterize source data to inform data product design.

- Source-to-Target Mapping (STM): Work alongside Data Modellers and target Data Engineering teams to define, construct, and document comprehensive source-to-target mappings aligned with enterprise data standards.

- Single Customer View &

- MDM Support: Apply hands-on knowledge of Master Data Management (MDM) concepts, data survivorship rules, data enrichment, and customer data modeling to integrate data across multiple disparate systems.

- Requirements &

- Spec Translation: Collaborate closely with Business Analysts, Product Owners, and technical teams to translate business requirements into clear data product definitions, transformation logic, and technical specifications.

- Data Product &

- Reporting Support: Support the end-to-end design and delivery of data products and reporting solutions by developing a deep understanding of core datasets and underlying data models.

- Quality &

- Governance:



Drive continuous improvement in data quality, data documentation, testing, and governance to ensure data deliverables yield reliable, actionable insights.

Skills

Must have

- Data Analysis &
- Modeling: Proven track record in data analysis, data profiling, source system analysis, and complex source-to-target mapping.

- Master Data Management (MDM): Practical exposure to MDM practices, data survivorship logic, data enrichment, and multi-source consolidation into a Single Customer View (SCV).

- Cross-Functional Collaboration: Demonstrated ability to bridge the gap between business stakeholders (BAs, POs) and technical engineering teams (Data Modellers, Data Engineers, Architects).

- Data Standards &

- Governance: Experience mapping and conforming data attributes to corporate data standards and enterprise models.

- SDLC &

- Quality Assurance: Experience contributing to data product testing, data quality checks, and transparent technical documentation within an agile delivery environment.

Nice to have

- Technical Tooling: Hands-on experience with SQL or Python for extracting, querying, and verifying source data to support engineering handoffs.

- Domain Experience: Prior experience working in Insurance or Financial Services platform environments.

Other

- Languages: English: C1 Advanced

- Seniority: Senior

Location - Pune,Mumbai,Chennai,Banagalore

Role: Data Analyst,

Industry Type: Legal,

Department: Data Science &

- Analytics,

Employment Type: Full Time, Permanent

Role Category: Business Intelligence &

- Analytics

Education

UG: Any Graduate

PG: Any Postgraduate

Key Skills

Skills highlighted with ‘‘ are preferred keyskills agile agile deliveryarchitecturebusiness analystbusiness requirementscharacterizationconsulting and implementationdata analysisdata analystdata architecturedata engineeringdata enrichmentdata modelingdata models

📌 Senior Data Business Analyst (Mumbai)
🏢 Luxoft
📍 Mumbai