As the Head of Analytics you will be responsible :
- Lead the function in providing analytical solutions that may range from business intelligence and reporting, data mining, predictive analysis, segmentation and modeling
- Partner with business leaders in various Business strategy by providing up-to date data and business analytics
- Be the face of the function for all Sr leaders
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 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
14 - 16 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
Essential Qualifications :
- A Post Graduate degree from a Tier 1 institute or BE/ BTech from a Tier 1 institute
- 14 to 20 years of experience in marketing Analytics for Retail, CPG clients
- Atleast 7 years of people Management experience
- Flexible to a diverse range of work some of which could be exploratory in nature
- Proficient in the use of SAS and other analytical & statistical tools
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