Statiscal Analytics- Manager

Mount Talent Consulting
  • Mumbai
  • 15-18 lakh
  • 7-12 years
  • 30 Nov 2015

  • Business Analytics

  • KPO/ Analytics
Job Description



Ability to articulate data requirements and determine an efficient statistical approach to meet the reporting requirement.
Assist design and development of analysis tools to support reporting, business controls or special projects
Designing new ways of looking at metrics and continuous improvement of analytical approaches and models
Some of the Analytics Consist of ( but are not limited to) :

Using Dynamic Algorithms to set price points integrating store on hand inventory with promotional requirements
Sensitivity analytics on product and consumer behavior based on promotions parameters on flyers and banners
Space and Range analytics for promotions
Predictive modeling on Product Behavior based on promotional attributes
Apply Statistical Process Control methodologies to determine which processes in stores are potentially out of control ranges in terms of promotional uplifts
Modeling What If Scenarios based on customer demographics, store promotions operations and price points
Extensive statistics knowledge and application
Build dynamically linked statistics using SAS JMP programs with graphics to interactively explore, understand, and visualize data
Ability to program SAS Miner parameters to consolidate relevant volumes of data
Provide executive reports to senior client merchandizing and category leadership on promotional analytics , trends etc enabling better decision making

Job Requirements:

Minimum 7+ years experience working with functions requiring a high level of focus on data modeling and statistical analysis
Bachelors Degree in Statistics / Engineering
Fluent in English with good verbal and Written Communication skills
Expert in applying statistical methods ( e.g Data Distribution Analysis, Time Series Analysis, Multiple Regression, Causal Factor Identification, Predictive Modeling)
Expert in Microsoft Office ( Word, Excel and PowerPoint)
Experience in managing medium sized teams/functions
Good Knowledge in SAS JMP & SAS Miner for analytics & Visualization

2-3 Prior Industry Experience in Retail or Consumer Goods in Merchandising Operations

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Mount Talent Consulting