Business Data Transformation Specialist

5 days ago

Kurnool, Andhra Pradesh, India beBeeTransformation Full time ₹ 1,20,00,000 - ₹ 1,80,00,000

Job Title: Business Data Transformation Specialist

We are seeking a highly skilled and experienced data transformation expert 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.

The successful candidate will be instrumental in translating business requirements into actionable data specifications, contributing to data modeling efforts, developing insightful analytics, and fostering strong cross-functional collaboration to ensure data initiatives align with our strategic objectives. The ideal candidate will have a strong understanding of the insurance industry and experience working with complex data landscapes.

This is a key role that requires a deep understanding of data analysis, data governance, and process design. The Business Data Transformation Specialist will work closely with business stakeholders, data engineers, architects, and governance teams to ensure that data initiatives meet business needs and drive strategic value.

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.
Technical Requirements:
  • Advanced skills in SQL for data querying, profiling, and transformation.
  • Proficiency in Power BI or similar BI tools for creating dashboards, reports, and visualizations.
  • Experience translating business requirements into data requirements, mapping data flows, and defining user stories/specs for data engineering teams.

Analytical & Problem-Solving Skills: Strong analytical and problem-solving skills with a keen eye for detail. Ability to perform thorough data validation and identify data quality issues.

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