Responsibilities -
As a part of the solutioning and implementation team, you- ll be responsible for developing Data Analytics led Retail/CPG related solutions onour AI based virtual analyst, and take them to prospective clients. In a highly charged and dynamic environment, your job will require the following -
- Design and develop scalable and configurable Retail solutions on Leni
- Solution to address the breadth of retail functions including Procurement, inventory management, sales & marketing, product & Pricing, SKUs & category management, channel management & Customer trends
- Understand data models, technology infrastructure to design product implementation solutions
- Work closely with the business development and sales teams to scope clients- needs and configure Leni to address the needs
- Lead a team of NLP analysts, data scientists, data engineers and business analysts to implement Leni for clients
- Assess market needs and contribute in introduction of new features and capabilities on Leni
- Sometimes, Write/Review code to scale product capabilities
A successful candidate will potentially have :
- 7-10 years of experience in delivering analytics led consulting projects in retail or CPG industry
- Experience in developing analytics led solutions in all or a few of the following in Retail/CPG - Supply chain, procurement & inventory management, Sales & marketing, Product analytics, pricing analytics, category management and customer analytics
- Deep understanding of the domain, key challenges faced by leading Manufacturing, CPG, Retail & Life Sciences firms and how analytical solutioning can help address those challenges
- Hands on experience in Segmentation, pricing, product modeling
- A good understanding of software applications and platforms specific to manufacturing function
- A master's degree (or equivalent) in Supply Chain/ MBA
- A bachelor's degree in Engineering/Stats/Economics discipline
- Strong analytical thinking and hands-on experience in problem solving
- Strong verbal and written communication skills
- A good understanding of the landscape of BI solutions like Tableau, Power BI, Qlik, ThoughtSpot, Answer Rocket, Looker etc.
- Hands-on experience in predictive modeling techniques like Forecasting, Optimization, Operations research, Regression, Classification, Clustering etc.
- Proficiency in R/Python/SQL
- A good understanding of SQL and no-SQL databases
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