Senior Engagement Manager - Business Insights & Analytics

Business Insights and Analytics (EM/Sr.EM)

About Sigmoid:

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.

An ideal person will come with a good mix of experience in developing complex business intelligence dashboards and provide insights. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe.

Responsibilities

• Architect and deliver scalable data and analytics solutions that transform complex datasets into actionable insights aligned with business objectives and strategic priorities.

• Lead business and stakeholder discussions to translate business challenges into robust technical and analytical solutions.

• Design and implement business KPI frameworks and metrics hierarchies that enable consistent performance tracking and informed decision-making.

• Generate deep business insights that go beyond reporting to uncover trends, drivers, and opportunities for growth, efficiency, and performance improvement.

• Design, develop, and optimize business dashboards, queries, data models, and semantic layers to ensure performance, scalability, and usability.