Role Summary:
- Focus: Analytics driven business opportunities - development and implementation with impact assessments. Clear focus on value add / value impact
- Stakeholders - Analytics (technical) solutions delivery for all analytical modules for all Tata AIA Life - across Consumers, Distribution, Operations, Product and Risk and Human Resource
- Business opportunity - To prepare post discussion with the relevant stakeholder opportunities and or problem statements and their specific solutions, where analytics can provide a solution for increased business / efficiency growth, esp. unchartered domains like digital, product and risk. Orientations towards execution is a must
- Team mentor - Guide/supervise and develop - the analytic models, with various software used by the organization and or partners, with the in-houses and or partner/vendors team
- Implementation -- Work with business and functional teams on implementation of the analytical models
Reports to Direct Head - BI and Consumer Analytics
Supervises 4 members - 2 data scientist and 2 outsourced members
C. Job Dimensions:
- Geographic Area Covered Pan India
- Stakeholders Internal Business Channels
- Distribution planning team
- Operations / IT
- Human Resource
- Operations
- External Analytics Partners - Banca/ other vendors
D. Key Result Areas :
Value Add Analytics :
BUSINESS - UNDERSTANDING & EXPOSURE Important area for focus
- Work on analytics led business opportunities across all business functions and partners
- Plan jointly with stakeholders and build new initiatives where BIU & Analytics can ingrain business benefits - premium, TAT, efficiency - programs in all functioning of the businesses
- Groundwork in terms of setting up the analytics tool/solution
- Track the key business parameters and provide analytical insights
- Identify opportunities to develop statistical models, segmentation schemes, and data-driven analyses to drive marketing and merchandising efforts around customer acquisition and conversion, efficiency in processes, digital insights and or people analytics
- Work on Statistical modules - development, assessment, hypothesis testing and validations, business opportunity -planning - for below business aspects
- Classification
- Attribution
- Simulation
- Forecasting
- Predictive / Prescriptive modeling
- Summarizations
- Clustering
- Digital analytics
- Social media analytics
- Contextual
- Unstructured data analytics
- AI, Deep Learning and Machine Learning techniques
- Testing and Validation of the models
- Out of time testing
- Exposure on product and risk analytics in BFSI sector
- Data Base Management / Business Analytics
- Database management from all core systems/sources of the organization
- Case preparation / Model building - Prepare the model that will take care of the problems highlighted and provide and uplift in the output
- Present the model to the stakeholder and take a signoff for the implementation
- Prepare a business case stating the problem and take signoff from the stakeholders
- Implementation High Focus
- Preparation of the plan for implementation of the predictive analytics model
- Prepare trackers and update the stakeholders on the progress
- Track all the models in implementation and provide the management a view of the same
- Integrate web analytics into transactional and customer analytics
E. Skills Required :
- Technical - Very Strong theoretical and practical knowledge of Statistical tools and application usage
- Python, R, SAS, MATLAB, Stata, Excelstat, Tableau and or allied solutions
- Ms Excel, SQL
- High proficiency in Coding/Programming skills is a must
- Experience on large data sets
- Desirable - Data visualization tools across various Platforms
- Hardware and Software knowledge
F. Incumbent Characteristics
Essential Desired
Qualification
Must-Have - PGDBM / Diploma
/ Degree -n Statistical Analytics and or full-time specific courses advanced analytics and or statistical analytics from a reputed institute is necessary
Prior to strong experience in Analytic and Statistical tools / working knowledge and implementation experience on same in the financial industry is desirable
Experience 7-10 years minimum
Exposure to the insurance industry is preferable MBA in Statistical Analytics shall be preferred
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