Senior Analyst, Business Intelligence

Accountabilities:: Tableau Platform Management: Take ownership of Tableau Server/Cloud environments, managing projects, user permissions, row-level security, content sharing, and access for internal teams and external partners. Data Source and Dashboard Optimization: Manage data sources, extracts, and refresh schedules while optimizing workbook performance for large-scale datasets and ensuring reliable reporting. Data Quality and Governance: Reconcile dashboard metrics with source systems and partner reports to ensure data accuracy, consistency, and reliability. Establish and document best practices for dashboard design, naming conventions, calculated fields, and version control. Enterprise BI and Analytics: Develop and maintain enterprise-level dashboards, forecasts, and in-depth analyses covering revenue performance, partner insights, and content monetization. Operational Intelligence: Design reporting solutions and anomaly detection frameworks to monitor advertising delivery and operational KPIs, translating complex data into actionable business rules, thresholds, and recommendations. Data Engineering and Analysis: Use advanced SQL, Python, and PySpark within Databricks to prepare, transform, join, and validate large datasets efficiently. Business Insights and Reporting: Respond to ad-hoc analytical requests and communicate findings through clear, compelling data storytelling tailored to both technical and non-technical audiences. Cross-Functional Collaboration: Work closely with Sales, Product, Finance, Operations, and Data Engineering teams to define BI requirements, improve data pipelines, and ensure reporting solutions meet business and operational needs. Stakeholder and Partner Management: Act as a primary BI partner for global Operations teams and external content partners, ensuring consistent KPI definitions, aligned reporting standards, and effective data usage. Team Development: Mentor junior analysts, share Tableau expertise, and promote best practices and knowledge-sharing across the BI function. Requirements: At least 4 years of professional experience in Business Intelligence, Analytics, or Data Strategy, ideally combining business intelligence and operational analytics within advertising technology, digital media, or SaaS environments. At least 3 years of hands-on experience with Tableau Desktop and Tableau Server/Cloud, including dashboard publishing, permissions management, row-level security, and automated scheduling. Advanced Tableau expertise, including LOD expressions, table calculations, parameters, dashboard actions, and workbook performance and extract optimization. Strong SQL skills, with experience writing complex queries involving joins, window functions, and CTEs across large datasets. Practical experience with Databricks and Python/PySpark for data transformation, large-scale data processing, and automation. Strong analytical and problem-solving abilities, with the capacity to turn complex datasets into meaningful business recommendations. Excellent communication, presentation, and data storytelling skills, including the ability to explain technical findings to senior leadership and international stakeholders. Demonstrated ability to work independently, manage end-to-end BI initiatives, and influence senior decision-makers without direct managerial authority. Proven stakeholder management skills, with experience building productive relationships across global teams and external business partners. Strong organizational skills, attention to detail, and a commitment to data accuracy, consistency, and reporting excellence. Preferred Qualifications: Experience with real-time analytics or operational intelligence frameworks, particularly in advertising technology or content monetization. Familiarity with Connected TV (CTV), Over-the-Top (OTT), and programmatic advertising concepts, including Supply-Side Platforms (SSPs), Demand-Side Platforms (DSPs), impressions, fill rates, and revenue-sharing models. Tableau certification, such as Tableau Desktop Specialist or Tableau Certified Data Analyst. Experience with forecasting methodologies and time-series reporting. Benefits: Full-time remote working opportunity based in India. Opportunity to work with large-scale advertising, revenue, and viewership datasets in the growing Connected TV and digital advertising industry. High-impact senior individual contributor role with significant ownership of enterprise BI platforms and strategic analytics initiatives. Exposure to international stakeholders, cross-functional teams, and global content partners. Opportunities to influence business strategy, operational efficiency, and revenue optimization through data-driven insights. Professional growth through advanced Tableau, SQL, Python, PySpark, and Databricks applications. Opportunity to mentor junior analysts and contribute to the development of BI best practices and organizational expertise.