Job highlights

- The ideal candidate brings 5+ years of experience,exhibits excellent project leadership skills,and communicates complex statistical insights clearly across technical and non-technical stakeholders

About the Role The Senior Data Analyst I develops analytic solutions that provide transparency to and enable critical business decisions regarding panel health, sample performance, and operational efficiency. In this role, you will apply a strong mathematical and statistical background to build predictive and prescriptive models aimed at optimizing operational spending-specifically reducing panelist incentives and operational costs without impacting panel performance, data quality, or core KPIs. Additionally, you will play a key role in tool migration initiatives, decoding complex logic from legacy workflows and data pipelines and re-engineering them into modern analytics frameworks.

The ideal candidate brings 5+ years of experience, exhibits excellent project leadership skills, and communicates complex statistical insights clearly across technical and non-technical stakeholders. Qualifications

Key Responsibilities

- Statistical Modeling Cost Optimization: Apply advanced statistical methods, rate forecasting, and predictive modeling to identify cost-saving opportunities across panel operations, specifically driving reductions in panelist incentive costs while maintaining data integrity and key performance metrics.




- Tool Migration Logic Decoding: Work closely with stakeholders to decode, reverse-engineer, and document complex business logic embedded within legacy workflows and data pipelines, successfully converting and migrating them into recent analytics tools and console frameworks.
- Independent Project Leadership: Lead analytics projects independently from conception to deployment, managing project timelines, production support, and the delivery of business-critical solutions.
- Process Automation Tech Debt Reduction: Design, automate, and optimize analytics tools to better plan, predict, and monitor sample performance, significantly reducing tech debt associated with legacy architectures.
- Business Intelligence Insights: Conduct research and quantitative analysis using descriptive, prescriptive, and statistical methods to deliver actionable insights and executive dashboards for business stakeholders.
- Cross-Functional Collaboration Governance: Collaborate with cross-functional teams to align analytics workflows, implement data governance processes, and ensure timely issue resolution and production delivery.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Data Scientist I (Bengaluru)
🏢 Nielsen Sports
📍 Bengaluru