Senior Analyst, Business Intelligence

LG Ad Solutions

. Manage content on Tableau Server/Cloud, including projects, permissions, row-level security, and sharing with external partners .

Posted 11/10/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Tableau Server/Cloud management, advanced SQL, and Python/PySpark for data analysis and visualization. Proven ability to mentor teams, communicate insights effectively, and collaborate with cross-functional stakeholders to drive business intelligence initiatives.

Highest-signal resume keywords

Tableau Server/Cloud ManagementAdvanced SQLPython/PySparkData VisualizationExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Tableau DesktopSQLPythonPySparkData AnalysisDashboard DesignData ValidationPerformance OptimizationAnomaly DetectionForecasting

Soft Skills

MentoringStorytellingInfluencingCollaborationCommunication

Tools & Technologies

TableauDatabricksBusiness IntelligenceOperational IntelligenceData Engineering

Certifications & Qualifications

Tableau Desktop SpecialistCertified Data Analyst

Industry Keywords

Ad TechDigital MediaSaaSCTVOTTProgrammatic AdvertisingSSPDSPRevenue ShareImpressions

Tech Stack

Tools & technologies

CloudPySparkPythonSQLTableau

About the role

Key responsibilities & impact

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
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 to technical and non-technical audiences
Translate operational data into business rules, thresholds, and actionable insights
Collaborate with Product and Data Engineering on pipeline requirements
Act as the primary BI partner for Operations and global stakeholders
Support Sales, Product, Finance, Operations, and external Content Partners with tailored BI insights
Align KPI definitions, reporting, and data usage with global external teams and Content Partners

Requirements

What you’ll need

4+ years in BI, Analytics, or Data Strategy, ideally spanning both 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
Experience with real-time or operational intelligence frameworks, particularly in advertising or content monetization (preferred)
Familiarity with CTV/OTT and programmatic advertising concepts (SSP/DSP, impressions, fill rate, revenue share) (preferred)
Tableau certification (Desktop Specialist or Certified Data Analyst) (preferred)
Exposure to forecasting or time-series reporting (preferred)