Manager - Marketing Analytics/Supply Chain Analytics - IIT/DCE/NSIT/NIT

Project Management:

Independently manage multiple projects of varying complexities, ensuring top notch quality and timeline adherence.

Act as super PL on various projects aiding strategic decision making for our blue chip client base

Help various project teams organize and manage client data and carry out logical accuracy and consistency checks on data using spreadsheets, statistical software and RDBMS packages like SAS, SQL Server, MS Access, MS Excel, etc.

Identify trends and evaluate insights in terms of logic and reasoning

Conduct sanity checks of analysis findings based on reasoning and past experience, and ensure that deliverables are client ready

People Management:

Guide team members on understanding client objectives better and translate the business questions into an analytical plan with associated priorities and constraints

Guide team members on how to use and implement basic and advanced statistical techniques like linear/non-linear Regression, Decision Trees, Segmentation, SEM, forecasting etc. on various projects

Client Management:

Act as client lead and maintain client relationship; make independent key decisions related to client management

Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward Initiatives.

Technical skills:

Expertise in one or more statistical tools such as SAS, R, cross-tabulations, correlation, regression, etc.

In-depth hands-on knowledge in using MS Access/ SQL; VBA, Excel, PPT

Experience in LAMASOFT for Supply Chain Analytics is mandatory

6-8 years of relevant experience in Advanced Analytics across a variety of projects starting from basic reporting, dashboard development, EDA, segmentation, forecasting, predictive modeling, optimization

Knowledge of advanced statistical techniques like Decision trees, CART, SEM, Forecasting techniques

VBA, Tableau

Education:

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

Tier Colleges/Universities

MBA from top tier B-schools