Senior Data Analyst II
Elsevier (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end analytics and reporting to improve content-flow performance and support data-driven decision making across global Operations.
- Build and deliver KPI frameworks, dashboards, and deep-dive analyses identifying bottlenecks, quality issues, and operational risks in publishing/content-flow processes.
- Partner with senior stakeholders and cross-functional teams to ensure consistent metrics, trusted data, and measurable operational outcomes, while coaching junior analysts and enabling business adoption of reporting.
Minimum Requirements
- Bachelor’s degree required; preference for quantitative disciplines (Economics, Math, Statistics, Data Science, Engineering, or similar).
- 5–8 years of experience in data/business analytics, ideally in global multinational environments; publishing domain exposure preferred but not mandatory.
- Strong proficiency in SQL and visualization tools such as Tableau and/or Power BI; experience with big data platforms like Databricks is advantageous.
- Work Experience Required: Typically 5–8 years in data analytics/business analytics; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Demonstrated ability to independently lead analytics projects with strong stakeholder management and hypothesis-driven approach in complex, process-heavy operational domains such as publishing/content-flow.
- Expertise in advanced data preparation, integration, modeling, and visualization with fluency in SQL and big data tools, capable of coaching junior analysts and promoting data governance.
- Comfortable bridging technical and business teams, influencing senior stakeholders through narrative-driven insights, and driving consistent metric definitions and scalable analytics delivery in global operations.