Qualifications:

• Al least 3-6 years of experience in Consumer Goods & Services Industry or Consulting firms.
• Has worked in the AnalyticsTeam (as part of the firm itself or as part of consulting organization) for leading CGS companies like Unilever, P&G, Nestle, Coca Cola, PepsiCo, ABInBev, Mondelez, Arcor, etc.
• Have worked in developed & implemented analytics model-based solutions addressing challenges like Route-to-market, Route Optimization (Traveling Salesman), Outlet Segmentation/Churn/Cross-sell or Upsell, Incentive Management, Revenue Optimization (Pricing, Portfolio/Assortment, Promotion), Marketing Mix Modeling, Consumer targeting, etc.
• Strong understanding of sales & marketing function & business questions in CPG context
• Basic understanding of data maturity challenges, and experience with defining analytics operating model based on data governance, architecture, security principles.
• Excellent communication (written and oral) and interpersonal skills
• Experience with delivering offering related work within a large, heavily matrixed company environment
• Able to work independent to solve problems and contribute to desired outcomes.
• Desire to learn, with a growth mindset.
• Advanced English (mandatory)
• CV in English (mandatory)

IF YOU PROFILE MATCHES THESE REQUIREMENTS:

• Helped clients sharpen their business strategy by implementing analytical models using techniques like Linear Regression, Logistic regression, Bayesian regression, Factor analysis, Cluster analysis, Sampling, ARIMA that support the realization of business objectives.
• Constructed business case and value analysis e.g. market share improvement, sales uplift, cost optimization etc.
• Performed Research and Analysis of client’s business, market, competitors. Interpreted data in context of industry and company specific issues
• Implemented analytics solution ecosystem with basic understanding of technology stack (GCP, Azure, AWS).
• Developed/debugged scripts in Python/R
• Reported the impact/outcome of the analysis leveraging strong analytical & presentation skills (PowerPoint, Excel and BI tools like PowerBI, Qlik)
• Understanding of Machine learning, IoT, Agile Methodologies, MapReduce, Hadoop, Hive, Spark, Cloud Platforms etc. is a plus

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