Senior Analyst, Business Intelligence
New
J
JobgetherDigital advertising
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 4 years of professional experience in Business Intelligence, Analytics, or Data Strategy; at least 3 years of hands-on experience with Tableau Desktop and Tableau Server/Cloud.
- Required Skills
- PythonSQLBusiness IntelligenceTableauDatabricksPySparkData analytics
Requirements
- At least 4 years of professional experience in Business Intelligence, Analytics, or Data Strategy.
- At least 3 years of hands-on experience with Tableau Desktop and Tableau Server/Cloud.
- Experience publishing dashboards and managing permissions, row-level security, and automated scheduling in Tableau.
- Advanced Tableau expertise, including LOD expressions, table calculations, parameters, dashboard actions, and workbook performance and extract optimization.
- Strong SQL skills, including complex queries with joins, window functions, and CTEs across large datasets.
- Practical experience with Databricks and Python/PySpark for data transformation, large-scale processing, and automation.
- Ability to turn complex datasets into business recommendations and explain technical findings to senior leadership and international stakeholders.
- Ability to work independently, manage end-to-end BI initiatives, and influence senior decision-makers without direct managerial authority.
- Stakeholder management experience building relationships across global teams and external business partners.
- Experience with real-time analytics or operational intelligence frameworks is preferred.
- Familiarity with CTV, OTT, and programmatic advertising concepts is preferred.
- Tableau certification and experience with forecasting methodologies and time-series reporting are preferred.
Responsibilities
- Manage Tableau Server/Cloud projects, user permissions, row-level security, content sharing, and access.
- Manage data sources, extracts, and refresh schedules, and optimize workbook performance for large datasets.
- Develop and maintain enterprise dashboards, forecasts, and analyses covering revenue performance, partner insights, and content monetization.
- Design reporting solutions and anomaly detection frameworks to monitor advertising delivery and operational KPIs.
- Use SQL, Python, and PySpark in Databricks to prepare, transform, join, and validate large datasets.
- Reconcile dashboard metrics with source systems and partner reports, and establish reporting and dashboard best practices.
- Respond to ad-hoc analytical requests and communicate findings through data storytelling.
- Collaborate with Sales, Product, Finance, Operations, and Data Engineering teams to define BI requirements and improve data pipelines.
- Partner with global Operations teams and external content partners to align KPI definitions and reporting standards.
- Mentor junior analysts and share Tableau expertise and BI best practices.
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