Chief Insurance Data Analyst

5 days ago

Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 22,00,000 - ₹ 25,50,000
Insurance Data Transformation Specialist

We are seeking a highly skilled and experienced professional to play a pivotal role in our enterprise-wide data transformation program. This position bridges the gap between complex business needs and technical data solutions, driving measurable impact on data quality, accessibility, and strategic decision-making.

This role requires a strong understanding of the insurance industry and a proven ability to navigate complex data landscapes.

Key Responsibilities:

  • Gather, analyze, and translate complex business requirements related to data initiatives that support the enterprise-wide data transformation program.
  • Perform in-depth data profiling and gap analysis to identify data quality issues and opportunities for improvement.
  • Translate business needs into clear data specifications, including KPIs, metrics, reporting requirements, and functional requirements documents for data solutions.
  • Perform data validation to ensure accuracy, consistency, and integrity as part of the enterprise-wide data transformation initiative.

Analytics & Reporting:

  • Develop and maintain dashboards, reports, and visualizations using tools such as Power BI (or similar BI tools) to support ongoing data quality monitoring and identify opportunities for continuous improvement.
  • Utilize advanced SQL skills for data analysis, querying, profiling, and transformation, generating insights, and presenting findings to stakeholders.
  • Translate technical concepts and data insights into clear, actionable business value for non-technical audiences.

Stakeholder Management & Process Design:

  • Facilitate workshops and conduct user acceptance testing (UAT) for analytical or reporting solutions.
  • Manage cross-functional collaboration with business stakeholders, data engineers, architects, and governance teams.
  • Design and implement data governance processes that align with business objectives, ensuring transparency, traceability, and alignment across teams.
  • Maintain and enhance data dictionaries, business processes, data flows, and business requirements.

Project Execution & Domain Expertise:

  • Apply domain expertise in the insurance domain to ensure that industry-specific requirements are accurately captured and aligned with local regulatory standards (e.g., IFRS 17, Solvency II).
  • Support project scrum execution by actively participating in sprint planning, daily stand-ups, and retrospectives, ensuring data-related tasks are clearly defined, prioritized, and delivered on time.

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