Location: Mexico / Costa Rica / Brazil Work Mode: remote Hiring Mode: FTE for Mexico and Costa Rica and Contractor or FTE for Brazil Client: VIACOMCBS INC Payrate: 40.00 USD

About the Role

We’re looking for an experienced Principal Business Performance Analyst with a focus on Personalization Analytics and Digital Marketing Analytics to join our Marketing Technology team. As a key member of the team, you’ll: Analyze user-centric personalization experiences to evaluate their impact on key performance metrics. Extract actionable insights from content search indexes and behavioral event data layers. Deliver insights from affiliate partnerships that drive incremental conversion growth. You’ll operate in a fast-paced environment spanning iOS, Android, Mobile Web, Desktop, and OTT platforms, and will have access to Claude AI as a daily productivity partner to accelerate analysis, documentation, and insight generation. What You’ll Do Data-Driven Strategy Use advanced analytics (SQL, Python, R) to provide actionable insights. Support personalization, affiliate marketing strategies, and business decisions. Design & Analyze Tests Lead A/B and multivariate testing. Optimize affiliate offers, landing pages, and user experiences to boost engagement and conversions. Customer Segmentation & Attribution Develop segmentation models to identify high-value customers. Implement digital attribution strategies to evaluate campaign effectiveness across affiliate partners. Reporting & Dashboards Build and manage dashboards and visualizations (Tableau, Google Data Studio). Track affiliate KPIs and highlight optimization opportunities. Cross-Functional Collaboration Partner with Marketing, Product, and Tech teams. Identify opportunities to enhance affiliate partnerships, optimize user journeys, and improve funnel performance. Optimize Affiliate Campaigns Analyze affiliate performance data. Identify improvement areas and recommend strategies to increase conversion rates and ROI. Affiliate Relationships Collaborate with affiliate partners to analyze trends and ensure alignment with business objectives. Personalization Feed Analytics Evaluate algorithmic content feed performance (dwell time, affinity, content freshness, user history, saturation, behavioral signals). Partner with Product and Engineering to assess impact of feed changes on KPIs (page sessions, video starts, retention, subscriptions). Lead A/B and multivariate tests to optimize feed ranking and content mix across platforms (iOS, Android, Mobile Web, Desktop, OTT). Predictive Metrics & Incremental Measurement Move beyond lagging indicators (uniques, visits, time spent, video views, LTV). Develop predictive measurement frameworks, RPM models, and incremental lift methodologies. Surface engagement quality metrics such as dwell time, content saturation, and session depth. Search Index & Event Data Analytics Work with content search indexes (OpenSearch/Elasticsearch-style) managing article, video, and social metadata. Integrate behavioral event log data with Adobe Analytics and Kochava into BigQuery. Define extraction patterns from APIs and collaborate with Engineering and BI on data pipeline architecture. Data Warehousing & Infrastructure Design dimensional models (Kimball methodology) optimized for performance and cost. Document data models, schemas, and analytical logic across Confluence, JIRA, and GitHub. Affiliate Marketing Analytics Provide insights from affiliate data to drive incremental conversions. Develop segmentation models, attribution strategies, and KPI dashboards (Tableau, Google Data Studio). What You Bring

Required Qualifications

Bachelor’s or Master’s degree in Statistics, Data Science, Economics, or a related quantitative field. 6+ years of experience in data analytics (preferably in digital media, streaming, or consumer platforms). Advanced SQL and hands-on experience with cloud data warehouses (Google BigQuery, AWS Athena, AWS Glue). Expertise with analytics platforms (Adobe Analytics, Kochava, or similar) across app, Mobile Web, Desktop, and OTT. Experience with search index or document store data (OpenSearch, Elasticsearch, or similar APIs). Strong experience in data warehouse design (Kimball dimensional modeling preferred). Proven experience designing and analyzing A/B and multivariate tests in production environments. Strong data visualization skills (Tableau, Google Data Studio). Excellent documentation skills, with the ability to interpret complex technical specifications and produce clear, structured outputs.