AM/Manager - Sales Analytics - Actuarial

1. Manager-Sales Analytics

Department-Actuarial

Designation-AM/Manager - Sales Analytics

Job Location-Gurgaon

Primary Role Description

- Consult sales and marketing stakeholders on varied business problems

- Conceptualize and implement various descriptive, predictive, prescriptive or simulation based analytical approaches to solve the business problems

- Solve problems such as boosting revenue, productivity, profitability across different sales channels through analytics and data science

Improving Lead Generation

Improving Lead Activation

Improving Conversion Funnel

Improving X-sell, Up-sell performance

Improving Quality of business sourced

Improving renewal performance

- Sales Forecasting and Simulation

- Sales force attrition prediction and pre-emption; Embed analytical intelligence to recruit quality sales force

- Producing meaningful and actionable insights that can be used in decision making and process improvements

- Maintain the prediction models as per business requirements.

- Refresh couple of important dashboards; highlight important business trends and generate actionable insights/recommendations.

Managerial Competencies:

- Must be able to prioritize and manage multiple projects, often working under tight deadlines

- Adapts to a changing environment and approaches challenges with creativity, resourcefulness in problem solving.

- Experience in leading analytical teams and experience of planning and implementing analytical and reporting projects in a fast-paced environment

- Impeccable attention to detail

Key Requirements - Education & Certificates

Minimum Requirement

- B.Sc/ M.Sc in Stats/B.Tech/MBA

- Must Have: Knowledge of SAS EG, SAS E-Miner, SQL

Required Experience:

- 2 to 7 years of experience in sales analytics. (Preferably in BFSI but not mandatory)

- Should have strong analytical bent of mind

- Should have applied statistical techniques like linear & logistic regression, CHAID, CART etc.

- Sound knowledge of SAS, spreadsheet, PPT

- Good to have basic knowledge of insurance industry

Key Requirements - Experience & Skills

Sales Analytics, SAS EG, SAS E-Miner, Predictive and Descriptive Analytical techniques