Decision Science Analyst

Company name confidential

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Exp: 0-2 Years

9.2 - 12.2 LPA

ITES/BPO/Call Center

Job Description

Responsibilities:

Collaborate with the business and the product teams and aid them to making data-driven decisions
Generate pricing insights by performing pricing analysis building pricing models
Lead investigations into multiple streams of product data, analyze behavioral and click-through data, and build user behavior models, and data visualization on user funnels; Work, analyze, evaluate, and generate insights on how users are interacting with our products and factor that into our pricing models.
Provide insights to the product team to develop new methods for optimizing product performance, selection strategies, and inventory guidance to drive GMV/CX goals.
Research and develop new frameworks, models, and processes for computing product affinity scores, and demand-supply curves, based on behavioral and transactional data.
Design experiments to answer targeted questions and conduct exploratory data analysis in high dimensions.
Build business cases and models to quantify new opportunities, using data and solid business judgment
Build a credit model for our customers and help us understand whom we should lend.

Requirements:

A bachelor's degree in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc from IIT/BITS/IISc.
6months -2 years professional experience in an analytical role
Experience in working with large data sets, thorough knowledge of SQL, and top data mining softwares + data viz tools like Tableau Software
Experience in building time series modeling & user behavior modeling
Ability to draw conclusions from data and recommend actionsWillingness to learn new techniques. Excellent communication skills.
High energy and a desire to work in a results-oriented, fast growth cross-functional environment.
A team player attitude and passion to deliver results.