Profile Description:
This person's key responsibility will be to work with clients to understand their business problems and help articulate the problem with an analytics framework.
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
- Work with onsite and offshore team to structure solutions based on analytics tools and techniques
- Develop code, statistical models, dashboards and ppts as per client requirements
- Present the results of the work to client stake holders and give insights and recommendations that have tangible business impacts
- Build relationships with clients to better understand their business, and to enable them to better understand how to use analytics to drive their business
- Successfully leverage ideas across clients to spot opportunities and generate new sales leads.
- Build and demonstrate capabilities to execute deliverables end-to-end including last mile to delivery with minimal hand-holding
- Execute projects independently with minimal guidance
- Successfully deliver Pilot projects
- Support in Pre-sales when needed
- Compliance of structured problem-solving approach and documentation of the same
- Meet and exceed client expectations with high quality, timely deliveries.
- Assist the team in process improvement / automation to increase efficiency
- Adhere to procedures like communication protocols, operational practices / procedures, Information security practices, attendance procedures, etc.
- Participate and actively contribute in review meetings.
Qualification:
- BE/B.Tech, ME/MTech (Computer Science),
- Advanced degree in a quantitative discipline, preferably Mathematics/Statistics or similar will be an added advantage
Relevant experience:
- 2 to 4 years of relevant experience in analytics consulting and professional services
- Atleast 2+ years hands on experience on modeling and deploying analytics solutions with clients
- Atleast 2+ years of exposure to Retail and/or Consumer Brands would be preferred
- 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 Skills:
- Hands on in statistical packages like SAS and R
- Good 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
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