Lead Business Analyst - SAS Modelling - BFSI

Discipline : Business Operations

Industry : Business Analysis

Job Description :

Job Responsibilities :

- Working knowledge with any of the following types of analysis: forecasting, promotional response, marketing mix, targeting, segmentation, and ROI analysis.

- Working knowledge of statistical tools - SAS, SPSS, R and methods to incorporate statistical results into analyses.

- Process, analyze and interpret healthcare data from very large data repositories.

- Implement projects to meet client requirements.

- Assist in generating project specifications and designing client solutions.

- Create analysis plans, implement research and QC results.

- Create appropriate tables, reports, graphs and written analyses.

- Working knowledge of research techniques.

- Able to understand complete process flow for area of responsibility.

- Assist with generating the final client deliverables and documentation based on analytical results.

- Ability to communicate concisely and meaningfully with internal and external clients.

- Ability to manage time with multiple projects to meet 100% of deadlines.

- Can elicit customer requirements and develop the appropriate analysis plan.

- Can compare alternative analytical approaches and justify to internal and external clients the appropriate methodology.

No. of Openings - 0

Qualification - Required Skillset :

- Advanced degree (MS or B.Tech) in a quantitative field (i.e. Mathematics, Statistics, Engineering, Economics etc.) from Top-tier institute

- 3 to 5 years of experience in executing advanced analytical projects

- Strong understanding of core analytical techniques like Cluster & Factor Analysis, Regression, Logistics Regression, survival modeling etc.

- Conceptual, analytical & tactical thinking, strategic thought process

- Strong exposure to MS Xcel, MS PowerPoint & an analytical bent to slice-dice business data

- Good communication skills (both oral & written) in order to participate in project discussions internally within the team & with end customers

Tools/Technique :

- Data Management & Manipulation

- Exploratory Analysis & Making Presentations

- Using Tools like basic Excel, SAS, R, SPSS etc

- Statistical Analysis & Design

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