Senior Analyst - Data Analytics - IIT/DCE/NSIT/NIT

Act as a lead analyst on various data analytics projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies

- Understand the client objectives, and work with the PL to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints

- Collect/Organize/Prepare/Manage data for the analysis and conduct quality checks

- Use and implement basic and advanced statistical techniques like frequencies, cross-tabs, correlation, Regression, Decision Trees, Cluster Analysis, etc. to identify key actionable insights from the data

- Develop complete sections of final client report in Power Point. Identify trends and evaluate insights in terms of logic and reasoning, and be able to succinctly present them in terms of an executive summary/taglines

- Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to analysts to ensure an error free output

- Aid in decision making related to client management, and also be able to take client calls relatively independently

- Discuss queries/certain sections of deliverable report over client calls or video conferences

Technical skills:

Hands on experience of one or more statistical tools such as SPSS or SAS

Working knowledge or experience in using MS Access/ SQL Server/ Oracle, VB/VBA, Excel Macro Programming would be an advantage

1-2 years of relevant experience in Marketing Analytics / MR

Experience in managing, cleaning and analysis of large datasets using statistical packages like SPSS and / or SAS

Experience in data management using SQL queries on tools like Access / SQL Server

Knowledge of basic statistical tools and techniques like cross-tabulations, correlation, regression, etc.

Knowledge of working across multiple data platforms and files like flat files, RDBMS files, Excel datasheets, etc.

Knowledge of advanced statistical techniques like Conjoint, MDS, CART, SEM, etc.

Education:

Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics from top Tier College

MBA from top tier B-schools