Details:

 

Education requirement: B. Tech/BE or MSc or MBA or MTech in Stats, Economics, Mathematics, Finance

or any other quantitative discipline

Role Description:

Primary Role Requirements:

• Substantial hands-on experience with data handling. Capable of managing large volumes of data,
extract, clean and comprehend
• Able to analyse data independently, and draw out salient insights. Able to define workflow for oneself
and BAs on a daily or periodic basis, contingent on the requirements of the project
• Able to contribute meaningfully to brainstorming discussions around nuances of the project
• Comfortable with statistical procedures, such as basic distributions, regressions, logistic models
• Experience with advanced statistics and Machine Learning algorithms is a plus
• Developing comprehensible analytical solutions to solve business problems using domain knowledge,
or statistical procedures depending on the requirements of the project
• Comfortable in representing the proceedings and/or findings in a power-point
• Comfortable in mentoring junior resources, and creating an environment of learning in the team
• Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case
Studies
• Develop and define an area of expertise and take relevant trainings on the same for the organization
• Contribute to org level activities, such as taking interviews,

Competences:

• Relevant analytics experience in Retail, e-commerce, Telecom, or any other domain

• Technical Capabilities –

o Excel – Mandate

o MSFT PowerPoint
o VBA
o SQL – Teradata - HIVE
o Statistical Packages - R, SAS; Python, PySpark, Scala is a plus
o Statistical Modelling and/or Machine Learning
o Visualization capabilities – Tableau, Qlik-view, Spotfire, MSFT BI, Looker

• Any credentials from IITs and NITs are good to have on the resume

Min. Qualification:

ug

Skills Required:

analytics, ecommerce, excel, hive, logistic regression