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Mid-level Data Analyst title, metro Bengaluru, and established multinational brand increase competition.
Core analytics skills are transferable but publishing/content-flow domain preference raises background sensitivity to medium.
Explicit 5–8 years plus mandatory SQL, BI tools, and domain exposure make screening moderately strict.
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Lead end-to-end analytics and reporting to improve content-flow performance and data-driven decision making across global Operations.
Develop dashboards, KPI frameworks, and perform deep-dive analyses to identify bottlenecks and operational risks in content production and publishing workflows.
Coach junior analysts and influence senior stakeholders through clear, narrative-driven insights and data governance leadership.
Bachelor's degree required; preference for quantitative disciplines such as Economics, Math, Statistics, Data Science, or Engineering.
5–8 years of experience in data/business analytics, preferably in global multinational environments and/or publishing or process-heavy operations domains.
Strong proficiency in SQL and experience with visualization tools like Tableau or Power BI.
Experience working with large, complex datasets; familiarity with Databricks, Python, Scala, Snowflake, or similar big data platforms is desirable but not mandatory.
Demonstrated ability to independently lead analytics projects by translating ambiguous business problems into structured hypotheses and actionable insights.
Strong domain understanding or ability to quickly develop expertise in content-flow and publishing operations with emphasis on operational measurement and continuous improvement.
Experienced in coaching and enabling analytics adoption among junior analysts and business users, balancing technical implementation with stakeholder engagement.