Back
Strong employer brand and metro location but senior specialization reduces applicant density.
Medium because core product and data skills are transferable, but audience-measurement domain preference increases specificity.
High due to explicit 8+ years requirement and mandatory SQL, BI, and data-product experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end user funnel analysis and optimization for Nielsen's panel data product, driving increased conversion and retention.
Architect and manage data quality assurance and monitoring systems to detect and resolve data anomalies proactively.
Lead technical support for commercial teams including building Proofs of Concept and managing complex data requests to enable GTM strategies.
8-12+ years of experience in product management for data products, or related analytical/technical product roles in B2B SaaS or data-driven environments.
Mandatory technical skills: SQL required; Python or R highly preferred; expertise in data visualization tools like Tableau or Looker.
Experience owning product health metrics, automated reporting, and data quality frameworks at scale.
Work Experience Required: 8-12+ years in relevant product/data analytical roles.
Expert at bridging technical data infrastructure with sales/market needs, comfortable in matrixed environments interacting with engineering and commercial teams.
Demonstrated ability in building and maintaining product telemetry and data quality monitoring systems, with strong problem-solving skills for operational data issues.
Experience with consumer data products or audience measurement data is a strong plus for strategic fit.