Overview
Senior individual contributor in Business Intelligence at LG Ad Solutions, turning large-scale advertising, revenue and viewership data into insights for Sales, Product, Finance, Operations and external content partners.
What you'll do
- Manage content on Tableau Server/Cloud, including projects, permissions, row-level security and sharing with external partners.
- Own data sources, extracts and refresh schedules, and tune workbook performance for large datasets.
- Reconcile dashboard figures against source systems and partner reports so every number can be trusted.
- Set and document best practices for dashboard design, naming, calculated fields and version control.
- Mentor junior analysts and run Tableau knowledge-sharing sessions.
- Build enterprise dashboards, forecasts and deep-dive analyses supporting revenue, partner insights and content monetization.
- Design and maintain reporting dashboards and anomaly detection for ad delivery and operational KPIs.
- Write efficient SQL and Python/PySpark on Databricks to prepare, join and validate data at scale.
- Handle ad-hoc analysis requests and present findings clearly to technical and non-technical audiences.
- Translate operational data into business rules, thresholds and insights that Operations and Content teams can act on.
- Collaborate with Product and Data Engineering on pipeline requirements so BI and operational use cases are met.
- Act as the primary BI partner for Operations and global stakeholders, shaping execution and monetization strategies.
- Support Sales, Product, Finance, Operations and external Content Partners with tailored BI insights.
- Partner with external teams globally to ensure unified KPI definitions, consistent reporting and alignment on data usage.
- Build strong working relationships with global external stakeholders and Content Partners so BI outputs earn trust and adoption.
What you'll need
- 4+ years in BI, Analytics or Data Strategy, ideally spanning business insights and operational use cases in ad tech, digital media or SaaS.
- 3+ years of hands-on Tableau Desktop and Tableau Server/Cloud experience, including publishing, permissions, row-level security and scheduling.
- Expert Tableau skills: LOD expressions, table calculations, parameters, dashboard actions, and performance and extract optimization.
- Advanced SQL (complex joins, window functions, CTEs) on large datasets.
- Strong working knowledge of Databricks and Python/PySpark for data wrangling and automation.
- Strong executive communication and storytelling skills; able to present to global stakeholders.
- Proven ability to influence senior leaders as an individual contributor and manage relationships with global teams and external partners.
Nice to have
- Experience with real-time or operational intelligence frameworks, particularly in advertising or content monetization.
- Familiarity with CTV/OTT and programmatic advertising concepts (SSP/DSP, impressions, fill rate, revenue share).
- Tableau certification (Desktop Specialist or Certified Data Analyst).
- Exposure to forecasting or time-series reporting.
Details
- Location: Bangalore, India.
Read the full description and apply on the company’s own careers page.