JOB PURPOSE
Create analytical framework for Health SBU to draw critical trends of r business strategy
Business expansion strategy leveraging enriched data of locations to identify profitable locations
Identify fraud and abuse trends from health claim data
Optimize health claims through optimizing on claims process leveraging data and analytics
NPS improvement using customer loyalty program as well as claims settlement data and analytics
Identification of fraud/nexus using claims optimization and fraud prevention strategy.
Lead and develop talent for HAT Analytics.
PRINCIPAL ACCOUNTABILITIES
Design/Ideation of business expansion strategy leveraging data science driven models for new and existing verticals across national/local levels and refer for approvals / signoff from NHOD and finance.
Plan & design communication plan for all the campaigns.
Geographical and Vertical wise categorization of Locations and pin codes mapped against each of these locations using machine learning techniques.
IIB health data analysis to identify BAGIC low penetrated locations where competitors are doing profitable and good business – opportunity identification
Health Claims Optimization
Identify claims benchmarking opportunities leveraging entity and claims level savings through data science
Plan frequency of reports, consumer of reports & formats of report.
Review the reports for veracity randomly & suggest corrections for deviations.
Comprehend customize report requirement by stakeholders (NHOD, zonal heads, vertical heads). Align team members to understand the requirement & review the reports / dashboards before it gets published with targeted stakeholder.
Identify business requirements to leverage multiple sources of data to classify customer base into logical segments. Handle data discrepancies, outlier analysis, intra-extrapolation keeping business understanding in parallel.
Use multiple data analytics and ML techniques to create one or more segmentation models using identified features, understand their customer persona and synchronize the finding with multiple business teams.
Design targeted business use cases to cater to different online/offline channels as well as monitor the percentage improvement and growth, as measurement of model efficiency.
Customer loyalty Analytics
Leveraging customer loyalty buckets to identify potential business applications and work closely with multiple channels to discuss opportunity sizing for multiple campaigns.
Analysis of CLI buckets with respect to varying customer KPIs to determine correlations, such as claim ratios, renewal ratios, purchase propensity etc.
AOP / Budgeting & Shareholder Review Presentation
Provide data support to NHOD for Budgeting / share holder reviews.
Assist NHOD in analyzing data points to be incorporated in AOP/Budgeting & share holder review presentations.
MAJOR CHALLENGES
Accuracy of data received from various functions to aid in smooth working
Prioritizing & accommodating adhoc report requests from stakeholders.
Educational Qualifications
Qualifications
Minimum Qualification: Graduate
Stream : Engineering or Bachelors in Science, Mathematics or related field
Work Experience
Min. 8+ years of relevant work experience.
Experience in creating visualizations and storyboarding from diverse source of data.
At least 2-3 years of experience in leading team of analysts.
At least 5+ years of experience with SQL, MS Excel (Advanced) and Power BI.
At least 5+ years of experience with R or Python.
At least 5+ years of hands-on experience with large data handling and actionable insight generation.
Good to have experience with cloud technologies (AWS / Azure )
Actively engaged and pursuing emerging trends and developments in Data and AI space.
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