Responsibilities

• Definehow marketing should use datato measure andoptimizeperformanceand personalizationstrategies.
• Develop and implement comprehensive data strategies that align with marketingobjectivesand business goals.
• Own the definition and governance ofmarketingdata includingKPIs, metrics, naming conventions, anddocumentation.
• Create andmaintaina marketing measurement planoutlining what we measure, why, andhow.
• Audit existing datasetsto diagnose gaps, inconsistencies, and opportunities for consolidation or improvement.
• Partner with Analytics and marketing teams toestablishkey performance indicators (KPIs) and success metrics for all marketing programs.
• Co-design analytical use cases withAnalytics/Reportingteam (e.g., funnel attribution, content effectiveness, campaign performance, demand efficiency, journey friction).
• Supportthe development of dashboards and reporting systems withaccurateKPIs, clear definitions, and meaningful strategic narratives.
• Partner with IT and Data Engineering touphold data quality and governance while ensuring dependable access to certified datasets.
• Create andmaintaintechnicaldocumentationsuch as data dictionaries/models that specify sources, schemas, SLO/SLAs, and quality rules for each certified dataset.

Requirements

• 6 years of experience inmarketingdata strategy and analytics using marketing technology and analytics platforms.
• Advancedskills in data visualization tools Tableau or Power BI.
• Strong SQL skills for data extraction, manipulation, and analysis.
• Understanding ofdata warehousing concepts and cloud platforms (e.g. BigQuery, AWS,Redshift).
• Proven experienceestablishing marketingdata quality standards and governance frameworks for complex, multi-source datasets with varying levels of documentation andcompleteness.
• Demonstratedexpertiseas a cross-dataset SME with deep knowledge of multiple data sources,their interrelationships, limitations, andappropriate usecases - including reconciling disparate data models andestablishingunified measurement standards.
• Ability to communicate complex information in an understandable way to non-technical audiences.
• Strong collaboration and stakeholder management skills.

Preferred

• Bachelor’s degree in information systems,datascience,statistics,engineering,computerscience, or related field.
• Ability to analyzecampaign effectiveness, audience behavior, and segmentation to uncover insights and present clear strategic recommendations.
• Strong storytelling and presentation skills, including communicating insights and recommendations to senior and executive audiences.
• Strong strategic thinking skills with the ability to balance big‑picture direction and detailed execution.
• Certification in Google Analytics, Tableau, or other relevant platforms.
• Experience with customer data platforms (CDPs) such as Segment,mParticle, or Adobe Experience Platform.
• Familiarity with data privacy regulations (GDPR, CCPA) and their impact ondata usage.

Benefits

• comprehensive benefits package
• Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.