Team Member - Analytics Persistency - Thane

Aditya Birla Health Insurance Company Limited; Maharashtra; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Aditya Birla Health Insurance Company Limited is seeking a data analytics professional to design and maintain Power BI dashboards for business reporting, focusing on persistency, channel, cohort and product-level performance.

The role emphasizes automated reporting, data quality, insight generation and collaboration with channel teams to drive data-driven decisions and continuous improvement.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Job description

Key Result Areas *

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)*

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.