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Senior Business Data Analyst

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Bharatpur, Rajasthan, India beBeeDataTransformation Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Data Transformation Specialist

The successful candidate will play a pivotal role in driving measurable impact on data quality, accessibility, and strategic decision-making.

Key Responsibilities:
  • Business Requirements & Data Analysis
    • Gather, analyze, and translate complex business requirements related to data initiatives that support enterprise-wide data transformation programs.
    • 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.