Aditya Birla Health Insurance Company Limited logo

Team Member - Analytics Persistency - Thane

Aditya Birla Health Insurance Company Limited

RemoteFull timeMid levelPosted today
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About the role

  • Key Result Areas: Write the key results expected from the job and the supporting actions for each of these key result areas (For a majority of jobs typically there could be 4- 7 key result areas)*

Key Result Areas * Supporting Actions*

Power BI Dashboarding

  • Design, develop and maintain automated dashboards in Power BI for business reporting and performance tracking.
  • Build dashboards that provide a clear view of persistency, channel, cohort and product-level performance.
  • Ensure dashboards are user-friendly, refreshable and aligned to stakeholder requirements.

Reporting Automation

  • Replace manual MIS with automated and refreshable reports.
  • Improve accuracy, consistency and timeliness of recurring business reports.
  • Reduce manual dependency by identifying repeatable reporting processes for automation.

Data Accuracy & Validation

  • Ensure high data quality, consistency and reliability across all dashboards and reports.
  • Perform validation checks across source data, dashboards and published MIS.
  • Highlight data mismatches, exceptions and gaps for timely correction.

Insight Generation

  • Analyse data trends and generate actionable insights to support business decision-making.
  • Identify which cohorts are performing well, where adoption is lagging and where targeted interventions are required.
  • Provide insight-led inputs on persistency, renewal, SI, rider addition and related business priorities.

Channel Engagement Support

  • Partner with the channel engagement team to provide insights, identify performance gaps and recommend corrective actions.
  • Support tactical decision-making through channel, region, product and cohort-wise analysis.
  • Enable targeted engagement with business teams based on data-backed observations.

Continuous Improvement

  • Identify opportunities to enhance existing reports through automation and improved visualization.
  • Recommend improvements in reporting structure, dashboard usability and data interpretation.
  • Support process improvement initiatives by bringing strong understanding of database maintenance and reporting logic.

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