Manager - Customer Analytics

Nikos Consulting Private Limited
  • Mumbai
  • 10-20 lakh
  • 7-10 years
  • Views
  • 31 Jan 2017

  • Business Analytics

  • Retail
Job Description

As a Manager you will be responsible for:

- Develop methodologies to support Customer Analytical project execution for CPG/Retail clients

- Ability to solution any customer analytics project in CPG/Retail domain

- Manage a team of analytics resources to ensure that deliverables are met with quality and in a timely fashion

- Engage with middle / senior level clients (VPs) effectively in a dialogue;

- Lead and supervise predictive and descriptive analytics based solutions for

Customer Segmentation

Statistical Models across customer Lifecycle

Attrition / Cross-Sell / Upsell Propensity Models

Customer Lifetime Value

Pricing Analytics

Web Analytics

Big Data Analytics

- Develop and articulate strategic recommendations based on rigorous data analysis

- Partner with client teams to understand business problems and marketing strategies

- Develop proof of concept for key CPG/Retail clients including scoping, staffing, engagement setup and execution.

- Work with deal teams to provide subject matter expertise and brain dump for important client proposals and RFPs.

Experience:

- 7-10 years of analytics overall experience, with hands on experience of predictive customer analytics in the CPG/Retail industry

- MS in Statistics, Data Mining, Econometrics or related fields or MBA

- Exposure to US/ overseas Markets

- Strong Consulting and project management skills and demonstrated experience in managing teams across functions and geographies

- Prior experience of solutioning, shaping client opportunities in respective industry

Key Competencies and Characteristics:

- Proficiency in one or more of analytical tools such as SAS product suite (Base Stat, E-miner, Sas EGRC), SPSS, SQL, KXEN and any other statistical tools such as R, Matlab etc.

- Advanced Excel including VBA and PowerPoint skills

- Ability to translate open ended business problems in analytical hypothesis and test the hypothesis leveraging various data sources

- Comfortable with techniques like logistic regression, segmentation / clustering, optimization, survival analysis

- Excellent communication and interpersonal skills

- Ability to tie analytic solutions to business/industry value and outcomes

- Desire and ability to collaborate with business partners and drive initiatives


Job Posted By

Roopshree
Principal Consultant