Onsite Analyst (Business Analytics) - SQL, R, Python, Quant

Ugam Solutions

$90K — $130K *
Retail & Consumer Goods
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Statistics, Economics, Operations Research, or related field
  • MBA from a tier 1 institute preferred
  • 3-8 years in Business Analytics/Data Analytics
  • 2 years of experience deploying analytics solutions with clients
  • Familiarity with Retail and Consumer Brands is a plus
  • Ability to apply structured problem-solving approaches
  • Strong quantitative skills and numerical aptitude

Responsibilities

  • Understand Ugam's business and specific client needs
  • Collaborate with clients to define and articulate business problems using analytics
  • Structure analytics-based solutions with onsite and offshore teams
  • Develop statistical models, code, dashboards, and presentations for client projects
  • Present insights and actionable recommendations to client stakeholders
  • Build and nurture client relationships to enhance analytics understanding
  • Spot opportunities to generate new leads through cross-client insights

Benefits

  • Opportunity to work in a dynamic, client-facing role
  • Access to professional development resources
  • Exposure to a variety of industries through client projects
  • Engagement in a collaborative and innovative work environment
  • Flexibility to participate in process improvement initiatives
Full Job Description
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: o Understand the business of Ugam and client needs in specific o Work with clients to understand their business problems and help articulate the problem with an analytics framework o Work with onsite and offshore team to structure solutions based on analytics tools and techniques o Develop code, statistical models, dashboards and presentations as per client requirements o Present the results of the work to client stake holders and give insights and recommendations that have tangible business impacts o Build relationships with clients to better understand their business, and to enable them to better understand how to use analytics to drive their business o Successfully leverage ideas across clients to spot opportunities and generate new sales leads. o Build and demonstrate capabilities to execute deliverables end-to-end including last mile to delivery with minimal hand-holding o Handle key projects with minimum assistance from the supervisor o Successfully deliver Pilot projects o Support in Pre-sales when needed o Compliance of structured problem solving approach and documentation of the same o Meet and exceed client expectations with high quality, timely deliveries. o Assist the team in process improvement / automation to increase efficiency o Adhere to procedures like communication protocols, operational practices / procedures, Information security practices, attendance procedures, etc. o Participate and actively contribute in review meetings. Qualifications Qualification:  BE/B Tech, Masters / Bachelors in Statistics, Economics, Operations Research  MBA from tier 1 institutes (Preferred)  Advanced degree in a quantitative discipline, preferably, Mathematics/Statistics or similar Relevant experience:  3 to 8 years of relevant experience in Business Analytics / Data Analytics  At least 2+ years hands on experience on modeling and deploying analytics solutions with clients  At least 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. Job description:  We are looking for someone to work with our clients as an Analyst at the client location to provide consulting by analysing key business problems, infer results and generating meaningful insights.

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