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NielsenIQ

Global provider of consumer purchasing data

Senior Expert Product & Methodology - Media Performance

Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience in media measurement, product management, data science, analytics, or comparable methodology-focused fields.
  • Strong understanding of media measurement, ideally including reach and frequency, attribution, sales lift, or brand lift.
  • Sound knowledge of statistics, modeling, data fusion, calibration, imputation, and/or data harmonization.
  • Ability to turn methodological concepts into standardized, scalable products.
  • Knowledge of R and/or Python and understanding of modern data architectures, automated data processing, and AI-based approaches.
  • Ability to connect methodological decisions with product value, customer requirements, and business outcomes.
  • Ability to communicate complex methodological topics precisely and appropriately to the audience, including senior stakeholders.
  • Business-fluent German and very good English.

Responsibilities

  • Design and further develop methodological approaches for media measurement products throughout the product lifecycle.
  • Develop and assess hybrid measurement approaches for reach and frequency, sales lift, and brand lift using panel, device, survey, and third-party data.
  • Translate market, customer, and business requirements into methodological product concepts and concrete requirements for data and technology teams.
  • Define suitable validation approaches and assess new methods for quality, feasibility, robustness, and scalability.
  • Advise product, technology, and commercial teams on methodology, assumptions, data requirements, and limitations.
  • Prepare methodological concepts clearly and systematically for internal and external stakeholders.
  • Further develop and innovate the methodological product roadmap for cross-media measurement, reach and frequency, sales lift, and brand lift during the first 6–12 months.
  • Develop and operationalize new measurement approaches using disaggregated and hybrid data sources during the first 6–12 months.
  • Translate market and customer requirements into scalable product and methodology concepts during the first 6–12 months.
  • Provide methodological support for prototypes and pilot projects, including defining go/no-go criteria and validation requirements during the first 6–12 months.
  • Assess new data sources, models, and technologies for their potential in existing and future products during the first 6–12 months.
  • Build and further develop methodology documentation, guidelines, and best practices during the first 6–12 months.
  • Act as a methodological sparring partner for product, data science, technology, and commercial teams during the first 6–12 months.

About the Company

NielsenIQ

Global provider of consumer purchasing data

NielsenIQ collects and analyzes consumer purchasing data to help retailers and brands understand market behavior. It tracks what people buy, when, and where, using this data to measure market share and purchasing trends across categories. The product works by aggregating point-of-sale and other consumer data, then turning it into actionable insights and benchmarks that clients can use to optimize pricing, assortment, promotions, and marketing. NielsenIQ differentiates itself through its long history (dating back to 1923) and a broad global footprint (operating in over 100 countries), plus its expanded capabilities after merging with GfK in 2023 to strengthen data on technology and durable goods. Its goal is to provide objective, data-driven guidance that helps retailers and brands make informed decisions and improve performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1923

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