Senior Business Analyst- Supply Chain & Analytics
SCA Technologies
5 - 10 years
Gurugram
Posted: 22/12/2025
Job Description
SCA Technologies is a digital procurement and supply-chain platform combining optimization, analytics, and advanced data-driven technologies , used by some of the worlds largest restaurant and foodservice brands.
Founded in 1999 and headquartered in Pittsburgh (USA) , we combine deep industry expertise with modern, cloud-based technology through our flagship platform, SCA Planner .
Our engineering and product teams in Gurgaon and Hyderabad work closely with US-based customers on high-impact problems involving pricing, supply-demand volatility, and large-scale data analysis .
We are a growing, profitable company focused on building long-term products offering meaningful ownership, stability, and the opportunity to work on complex, real-world systems.
- Build software used by global, multinational customers across the US and international markets
- Work on a modern, industry-leading SaaS platform solving complex, data-driven problems at scale
- Join a stable, growing company where individual contributions are visible and directly tied to business impact and career growth
- Collaborate with experienced product builders and technologists , learning both deep technical skills and practical product know-how
- Be part of a strong culture that values ownership, accountability, and team success
- Work with proven technical assets, including patented methods and advanced capabilities in analytics, optimization, and applied AI/ML
Role: Senior Business Analyst / Senior Product Analyst Supply Chain & Analytics
Reports to: Product Manager
- Experience in Product Management or Business Analysis , building or contributing to large quantitative tools, models, or analytical systems
- Demonstrable evidence through professional work or graduate-level academic projects
- Strong applied mathematics orientation , with a background in:
- Engineering, Mathematics, Physics, Operations Research, Economics, or similar quantitative disciplines
- Proven ability to work with data, models, and structured problem-solving ; comfortable reasoning quantitatively and validating assumptions
- Strong communication and coordination skills , with experience working across stakeholders to clarify requirements and drive outcomes
- Self-driven and organized , with the ability to:
- Translate analytical work into real, usable products
- Take ownership from concept through execution
- Experience with SaaS products, analytics platforms, or enterprise software is a plus
Highly desirable: Exposure to order-to-pay processes (ERP / DRP) , large supply-chain datasets, and optimization or forecasting models .
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