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Key Responsibilities:
• Understand the business of Ugam and client needs in specific
• Work with clients to understand their business problems and help articulate the problem with an analytics framework to translate it to an analytical problem
• Work with onsite and offshore team to structure solutions
• Design analytical plans and processes applying relevant tools and techniques
• Data processing for and execution of the analytical plan
• Develop code, statistical models, dashboards and presentations as per client requirements
• Communication of analytical output to client senior management through relevant reporting, dashboards and storyboarding
• Provide insights and recommendations that have tangible business impact
• Build relationships with clients to understand their business, and to enable them to make better decisions
• Build and demonstrate capabilities to execute deliverables end-to-end including last mile implementation
• Handle key projects independently and buddy up with junior members of the team to upskill them
• Successfully deliver pilot projects
• Support in pre-sales when needed with high-quality, well-organized presentations and proposals
• Meet and exceed client expectations with high quality, timely deliveries.

Qualification
• Bachelors in Statistics, Economics, Operations Research
• Advanced degree in a quantitative discipline, preferably Mathematics/Statistics or similar will be an added advantage

Relevant Experience
• 1 to 3 years of relevant experience in Business Analytics / Data Analytics
• At least 1-year experience working in the US
• At least 2+ years hands on experience on modelling and deploying analytics solutions with clients
• Good to have 1+ years of exposure towards Retail / Brands / Consumer Packaged Goods (CPG) domain and good to have exposure to a global delivery model
• Ability to apply first principles and structured approaches to problem
solving as opposed to relying excessively on past domain expertise
alone
• A strong appreciation for Math, Retail Business and Technology
• A strong quantitative mindset: You don’t have to be a Statistics
major, but you do have to know how to work with numbers.

Technical/Domain
• Hands on in statistical packages like SAS and R

• Advanced in PPT and Excel
• Ability to write Code /SQL to extract data from clients databases
• Hands on experience on dash boarding tools like Tableau, Spotfire
will be preferred