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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | Statistics / Analytics |
| EmploymentType | Full-time |
Develop methodologies to support Customer Analytical project execution for Retail / FMCG clients Develop predictive analytics based solutions for o Customer Segmentation o Statistical Models across customer Lifecycle o Attrition / Cross-Sell / Upsell Propensity Models o Customer Lifetime Value o Pricing Analytics o Web Analytics Apply appropriate techniques, such as exploratory data analysis, regression, bootstrapping, trees, cluster analysis, survival analysis and so on Develop and articulate strategic recommendations based on rigorous data analysis Partner with client teams to understand business problems and marketing strategies Knowledge and Skill Requirements: 1-3 years of analytics overall experience, including at least 1 years of quantitative analysis in the Retail / FMCG Industry. Hands on experience in Predictive analytics projects involving statistical modeling, customer segmentation etc. Must have Skills: 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 Consulting skills and project management experience is preferred Excellent communication and interpersonal skills Ability to tie analytic solutions to business/industry value and outcomes Predictive analytics and clustering SAS/R Good to have skills: Machine learning Travel: Willingness to travel up to 50% of the time Professional Development Skills: Project Dependent,
Keyskills :
analyticsspssclusteranalysismanagementdataengineeringartificialintelligencemanualtestingdigitalmarketingjavacommunicationindexconsultingj2eeqlplsql