Senior Business Analyst - Business Insights & Analytics at STREAMVECTOR INC D B A SIGMOID ANALYTICS

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Intelligence, Data Analytics, Data Engineering, AI Consulting, Cloud Data Modernization, Predictive Analytics, Generative AI, DataOps, Dashboard Development, SQL, Power BI, Tableau, Qlik, Data Modelling, Semantic Layer Design, Stakeholder Engagement

Industry

Business Consulting and Services

Description

Business Insights and Analytics (BA/SBA/AM) 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, develop, and deploy scalable Data solutions that transform complex data into actionable insights aligned with client objectives. Lead client discussions to translate business challenges into robust technical solutions, clearly understanding both functional and strategic requirements. Deliver deep analytical insights that go beyond surface-level reporting to drive measurable business value and informed decision-making. Optimize and enhance existing dashboards, queries, and data architectures to improve performance, usability, and scalability. Create and maintain comprehensive SOPs and project documentation with accuracy and timeliness. ● Ensure adherence to delivery timelines, quality benchmarks, and internal governance standards. ● Operate independently with minimal supervision while managing multiple parallel engagements effectively. Experience and Qualifications 5–8 years of hands-on experience in Business Intelligence and Data Analytics. Strong understanding of data and data modelling, enabling the design of scalable, efficient, and business-aligned data architectures. Exposure to BI tools such as Power BI, Tableau, and Qlik. Advanced proficiency in SQL, and Semantic Layer design. Demonstrated ability to engage with cross-functional stakeholders (business and technical), understand decision flows, and translate reporting needs into impactful insights. Highly analytical mindset with proven capability to synthesize data into clear, compelling, and actionable recommendations. Exposure to diverse domains such as BFS, CPG, Supply Chain, Manufacturing, and Marketing is an advantage. Strong problem-solving skills with the ability to manage competing priorities in dynamic environments. Excellent written and verbal communication skills, with the ability to present insights confidently to stakeholders. Good to Have Experience designing Gold layers and Semantic layers within modern data architectures. Familiarity with AI-driven conversational chatbots and intelligent reporting assistants. Exposure to AI-powered control towers and advanced monitoring solutions.

Responsibilities

The role involves architecting, developing, and deploying scalable Data solutions to transform complex data into actionable insights aligned with client objectives. Responsibilities also include leading client discussions to translate business challenges into technical solutions and delivering deep analytical insights to drive measurable business value.