About The Position

We are looking for a Data Analyst to drive the development of Yield Measurement & Optimization capabilities for Retail Media. This role involves using data to improve inventory utilization, pricing efficiency, campaign performance, and revenue. You will analyze Retail Media data across various dimensions, develop and automate yield reporting, and translate analytical findings into actionable recommendations. You will collaborate closely with Campaign Management, Product, Data, and BI teams to enhance data quality and establish reliable datasets. The goal is to support data-driven inventory and pricing decisions and lead analytical initiatives end-to-end. This is an opportunity to join a fast-growing Retail Media business and shape how brands reach customers across our online and offline ecosystem.

Requirements

  • Degree in Business Analytics, Data Analytics, Economics, Computer Science, Business Administration or a comparable qualification
  • Professional experience in Digital Advertising, AdTech, Retail Media, e-commerce media or a comparable data-driven media environment
  • Strong hands-on data analytics experience, with demonstrated ability to work independently with large and complex datasets
  • Strong practical experience with BigQuery and SQL, including querying, joining and analyzing datasets to answer complex business questions
  • Hands-on experience building reporting and analytical solutions using Looker Studio or comparable BI tools
  • Advanced Excel / Google Sheets skills and strong quantitative and analytical problem-solving capabilities
  • Good understanding of digital advertising and media performance metrics including impressions, CPM, CPC, CTR, conversion, ROAS and revenue performance
  • Ability to translate complex analytical findings into clear business recommendations and measurable commercial opportunities
  • Experience in independently managing analytical projects or workstreams, including requirements gathering, stakeholder coordination, implementation and follow-up
  • Strong communication skills and ability to work effectively across technical, product, operational and commercial stakeholders

Nice To Haves

  • Experience with yield management, inventory optimization, pricing or revenue management
  • Experience within Retail Media, particularly onsite advertising, sponsored products or digital advertising inventory
  • Understanding of programmatic advertising, campaign management and AdTech platforms
  • Experience developing automated reporting, data models or scalable measurement solutions
  • Basic Python or additional data engineering/analytics capabilities would be an advantage

Responsibilities

  • Drive the development of Yield Measurement & Optimization capabilities for Retail Media, using data to improve inventory utilization, pricing efficiency, campaign performance and revenue
  • Analyze Retail Media data across inventory, pricing, campaign delivery, media performance and revenue using BigQuery, SQL and advanced analytics to identify performance gaps and monetization opportunities
  • Develop and automate yield reporting and dashboards in Looker Studio, establishing transparency on key KPIs such as inventory utilization, fill/sell-through rate, CPM/CPC, campaign delivery, ROAS and revenue performance
  • Translate analytical findings into actionable commercial and operational recommendations, quantifying potential revenue and efficiency impact
  • Work closely with Campaign Management to analyze campaign delivery, pacing, inventory constraints and other operational factors affecting yield and monetization
  • Partner with Product, Data and BI teams to improve data quality, availability and consistency and establish reliable datasets and a single source of truth for yield measurement
  • Analyze supply and demand, inventory utilization and pricing performance to support data-driven inventory and pricing decisions
  • Lead analytical and optimization initiatives end-to-end, from business problem definition and requirements gathering through analysis, stakeholder alignment, implementation and measurement of results
  • Collaborate cross-functionally with Product, Data, BI, Commercial and Campaign Management teams to embed yield insights into ongoing Retail Media decision-making

Benefits

  • Diversity is key to achieving our vision of becoming the Experience Champion in Consumer Electronics. We value diversity, promote equal opportunities, and foster inclusion
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