Project Lead (Data Expert) - Retail

WHO YOU LL WORK WITH:

The Retail Center of Expertise collaborates with Bain s global Retail Practice leadership, client-facing Bain leadership and teams, and with end clients on the development and delivery of Bain s proprietary Retail products and solutions. These solutions aim to answer strategic questions of Bain s Retail clients relating to category management, COGS optimization, pricing & promotion analytics, space optimization, and customer analytics.

As part of the Retail Center of Expertise, you will work in teams comprising a mix of Directors, Managers, Projects Leads, Associates, and Analysts, on projects ranging from 3 weeks to 6 months.Delivery models on projects vary from working as part of a broader global Bain case team, working independently with a Bain Associate Partner / Partner, or working directly with end clients.

WHAT YOU LL DO:

• Contribute as a lead of the team to develop product data/ ETL pipelines within Retail domain (Grocery, Apparel, General Merchandise, e-commerce, B2B retail, etc.)
• Integrate with databases, ensuring efficient and optimized database interactions; ETL processing and Data warehousing
• Write reusable and sustainable code, following best practices and coding standards
• Troubleshoot, debug and resolve software defects and issues promptly
• Collaborate with cross-functional teams to define, design, and ship new features
• Stay informed about industry trends and best practices to consistently enhance development processes
• Assist in recruiting, marketing and training

ABOUT YOU:

• Bachelor s degree in computer science, engineering, or a related field is preferred

• 5-8 years of relevant experience

  in a backend engineering (Data Heavy), creating data pipelines or similar role
• Experience in designing solutions & being able to draft the technical architecture for those
• Strong proficiency in programming languages like Python, SQL
• Proficiency in designing and architecting scalable Big Data solutions platforms Hadoop, Snowflake etc
• Experience with distributed computing, parallel processing, and cluster management
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Working knowledge of data mining using ETL, data warehouse
• Solid understanding of relational databases; hands-on experience in database design and optimization
• Expert Knowledge of VCS system like BitBucket or Github
• Strong hands-on experience on Integrating GENAI Based Applications with Frontend
• Ability to work in a fast-paced environment and deliver high-quality results under tight deadlines
• Strong problem-solving skills and the ability to work independently or collaboratively within a team
• Must have strong communications skills, should be able to drive discussion/presentations with senior stakeholders and client maps
• Good to have knowledge of key data sources and metrics about the Retail industry with experience in one or more sub-sectors within Retail
• Knowledge in One of the Backend Frameworks Like FastAPI (Preferred),Flask , Django or ExpressJS is preferred