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22/11 Vinod Kumar Koul
CEO at Neufvasi

Views:2132 Applications:5 Rec. Actions:Recruiter Actions:4

Senior Manager/Manager - Advanced Analytics - Insurance (6-9 yrs)

Gurgaon/Gurugram Job Code: 767728

Manager - Advanced Analytics


- Our client is a global Insurance company that has a business intelligence/analytics unit to work closely with the Management team to enable the achievement of business objectives through analytics.


- They are looking for Senior Manager - BIU to be part of the Advanced Analytics & Data Science Department.

Key Responsibilities :

- Consulting with internal customers (e.g., Agency, Bancassurance, Operations and other key stakeholders) to develop analyses that lead to actionable insights

- Deriving data from multiple sources including sales, product, and customer databases to create integrated views that can be used to drive decision making

- Working with several large and complex SQL Server/Oracle/SAS/Python datasets

- Create predictive/propensity models using advanced and machine learning algorithms

- Generate actionable insights from the data and present them to senior stakeholder

- Create dashboards to highlight focus areas for the business either in excel/BI/ Data Visualization tools like Cognos BI / SAS Visualization Tool / Tableau

Required qualifications and experience :

- Postgraduate in Economics / Statistics / Mathematics or have done engineering with at least 6 years of experience in using advanced analytics tools

- Should be preferably from BFSI / Retail domain. Prior Insurance knowledge would be an added advantage

- Should have worked with business & functional teams to build, test & validate various hypotheses and build actionable insights

- Need to be strong in quantitative analysis & coding and should have knowledge on Predictive Model development, clustering/segmentation, upsell, cross-sell campaign management. Should be experienced in using Supervised and Un-supervised machine learning techniques

- Should be competent in using at least 1 of the statistical analytical tools like SAS / R / Python. Working knowledge of multiple tools will be an added advantage

- Prefer individuals who have experience of AI, SAS, R, Machine learning, Cognos, SQL, and Data warehouse

- Strong presentation skills including making presentable PPTs

- MS Office - Excel / Access / PowerPoint / Office

Knowledge and skills desired :

- Analytical, creative, and innovative approach to solving problems

- Strong written and verbal communication

- Strong presentation skills

- Entrepreneurial spirit - You are part of the setup team!

- Understanding customer life cycle and data lineage is an added advantage

- Ability to develop forecasts, statistical models, segmentation schemes, and data-driven analyses

- Knowledge of key statistical models/Oracle/SQL Server

Women-friendly workplace:

Maternity and Paternity Benefits

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