Senior Engineer - Data Analytics
- Location
- Hyderabad, India
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 8 approvals (FY2023)
- Posted
Skills
About this role
TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you’re working in our four global Home Offices, Distribution Centers or Retail Stores—TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you’ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family—a Fortune 100 company and the world’s leading off-price retailer.
Job Description
Senior Engineer – Data Analytics What you’ll discover Inclusive culture and career growth opportunities A truly Global IT Organization that collaborates across North America, Europe, Asia and Australia, click here to learn more Challenging, collaborative, and team-based environment Our Organization : The Global Stores and Supply Chain Solution Delivery organization is responsible for delivering technology solutions to drive growth, enable efficiency, and improve customer experience at the front-line in our stores and managing various supply chain related solutions within TJX IT. We are expanding our organizational footprint, and need your help to accomplish our vision! You will have a real opportunity to be a part of driving over $50B in annual revenue and make our stores a destination that our customers love. The Data & Analytics function thrives on strong relationships with our business partners and working diligently to address their needs, which support TJX growth and operational stability. On this tightly knit and fast-paced solution delivery team, you will be constantly challenged to stretch and think creatively. As we expand our capabilities, we are growing our presence in India to include a new focus on Data Analytics. Associates in India will work closely with global teams to mature and scale our services. What you’ll do We seek a motivated, talented Senior Engineer with good understanding of cloud architecture, data warehousing, data modeling concepts to help design enterprise data engineering and reporting solutions across global stores organization. You will be working with product teams, architecture and business partners to strategically plan and deliver the product features by connecting the technical and business worlds. You will need to break down complex problems into steps that drive product development while keeping product quality and security as the priority. You will be responsible for most design and technical decisions within assigned scope. AI & Innovation Drive adoption of Gen AI and Agentic AI to enhance analytics, automation, and decision-making.
Key Responsibilities
Build advanced Power BI dashboards, reports, and data models tailored to business needs and implement DAX calculations and optimize queries for performance. Create and maintain data models ensuring accuracy and scalability and connect Power BI to multiple data sources (SQL Server, Azure, APIs). Build JAVA/.NET/Python based UI Screens for report facilitating the reports. Monitor and improve report performance using best practices for data modeling and query optimization. Implement Row-Level Security (RLS) and manage user access and ensure compliance with organizational data governance standards. Work closely with business stakeholders to understand reporting needs, translate the requirements into technical specifications and deliverables. Guide junior engineers and provide best practice recommendations. Conduct code reviews and ensure adherence to BI development standards. Manage Power BI Service environments, including workspaces and gateways and Support CI/CD pipelines for BI solutions. Stay updated on Power BI / Sigma features, data visualization trends, and Azure BI ecosystem. Develop solid understanding of the end-to-end business application processes. Recommend enhancements to improve reporting efficiency