Associate Senior Manager Analytics

Job Description

PRINCIPAL ACCOUNTABILITIES Geo expansion analytics 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. Customer Segmentation 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. Data Science Support Model development and data science support to support additional business opportunities. MAJOR CHALLENGES Accuracy of data received from various functions to aid in smooth working Prioritizing & accommodating adhoc report requests from stakeholders. DECISIONS NA INTERACTIONS Internal Clients Roles you need to interact with inside the organization to enable success in your day-to-day work Vertical Heads– NHODs External Clients Roles you need to interact with outside the organization to enable success in your day-to-day work Interact with external clients/Vendors on project collaboration DIMENSIONS Financial Dimensions Capability Building on Topline and Bottom line Other Dimensions Total Team Size: NA Number of Direct Reports: NA Number of Outsourced employees: NA SKILLS AND KNOWLEDGE Educational Qualifications Qualifications Minimum Qualification: Graduate / Postgraduate or Equivalents Work Experience Min. 3+ years of relevant work experience Exposure to develop predictive models and machine learning models. Have implemented at least 1 predictive/ machine learning models end to end