COO's Office (Business Analyst)
Sarvam AI · Bengaluru · onsite · Posted 46d ago
Not disclosed5–8 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Key Responsibilities
- Define, track, and report key business and team performance metrics.
- Build and maintain internal performance dashboards and reports.
- Work with teams to establish and monitor OKRs, KPIs, and other business metrics.
- Create clear visualizations and data displays for leadership and teams.
- Help enable real-time/regular visibility of important metrics across the organization.
- Analyze trends, identify gaps, and highlight areas requiring attention.
- Partner with different teams to understand their data requirements and translate them into meaningful metrics.
- Ensure data accuracy, consistency, and reliability across dashboards and reports.
- Present insights and recommendations to business and leadership teams.
- Drive adoption of a data-driven decision-making culture across the organization.
- 5–8 years of experience in Business Analytics, Data Analytics, Business Intelligence, or a similar role.
- Strong understanding of business metrics, KPIs, and performance measurement.
- Hands-on experience building dashboards and reports using tools such as Power BI, Tableau, Looker, or similar.
- Strong SQL and data analysis skills.
- Experience working with OKRs, goal tracking, or organizational performance metrics is highly preferred.
- Ability to communicate complex data and insights in a simple, business-friendly manner.
- Strong stakeholder management and problem-solving skills.
- Ability to work independently and take ownership of metrics and reporting.
Sourced from foundit
Skills
Power BiTableauSQLLookerdata analysis
About Sarvam AI
Sarvam AI
Bengaluru
IN
About
Sarvam AI develops AI infrastructure, models, and applications designed to support Indian languages and enterprise use cases. Sarvam AI develops artificial intelligence infrastructure, models, and applications designed to support Indian languages and enterprise use cases. Its platform provides capabilities such as text-to-speech, speech-to-text, translation, document digitization, dubbing, and conversational AI through APIs and deployable products. The company builds and operates a full-stack AI ecosystem that includes foundational models, application-layer tools, and infrastructure for serving AI workloads at scale. Sarvam’s offerings are used by enterprises, government organizations, and developers to automate workflows, process multilingual content, and enable AI-powered interactions across diverse linguistic contexts. The company also develops language and multimodal models tailored to Indian languages and regional requirements, with support for deployment in cloud, private cloud, on-premises, and air-gapped environments.
Industries
Artificial Intelligence (AI)Generative AISoftware