Job Description

Company Description

Ugam, a Merkle company, is a leading analytics and technology services company. Our customer-centric approach delivers impactful business results for large corporations by leveraging data, technology, and expertise. We consistently deliver superior, impactful results through the right blend of human intelligence and AI. With 3600+ people spread across locations worldwide, we successfully deploy our services to create success stories across industries like Retail & Consumer Brands, High Tech, BFSI, Distribution, and Market Research & Consulting. Over the past 21 years, Ugam has been recognized by several firms including Forrester and Gartner, named the No.1 data science company in India by Analytics Insight, and certified as a Great Place to Work. The name Ugam comes from the ancient Sanskrit language and means source or origin. Ugam seeks to be the source of solutions for the complex problems of retailers, brands and market research firms worldwide. The name signifies the company's position as a pioneer in the market for data and analytics, and the source of relevant actionable insights for clients.

• Convert business problem into an analytical problem by assessing available data sources and data sets
• Solve the business problem - identify factors, test hypotheses, conduct EDA, design solution and outputs
• Lead the team in evaluating relevant analytical techniques and choose/propose a champion model/methodology
• Analyze, assess findings, generate insights and present recommendations through reports/dashboards/excel/presentations
• Independently plan and execute key projects including last mile to delivery
• Research & develop point of views on emerging problems, new ways of solving existing problems
• Mentor and up-skill team on the analytics consulting career roadmap
• Spot opportunities that could potentially generate new business for Ugam within existing and new client accounts

• Bachelors in Engineering (Computer Science or relevant)
• 3-10 years experience in to Analytics
• Should possess skills like SQL, SAS / R, Python, Tableau/Power BI
• Modeling techniques (linear regression, logistic regression, forecasting)
• Supervised and unsupervised machine learning techniques