Transform complex datasets into actionable insights that drive marketing decisions and performance
Establish measurement frameworks for multi-channel marketing strategies
Define success metrics and bridge Marketing, Analytics, and Technology teams to demonstrate marketing's organizational value
Develop and implement comprehensive data strategies that align with marketing objectives and business goals
Own the definition and governance of marketing data including KPIs, metrics, naming conventions, and documentation
Create and maintain a marketing measurement plan outlining what we measure, why, and how
Audit existing datasets to diagnose gaps, inconsistencies, and opportunities for consolidation or improvement
Partner with Analytics and marketing teams to establish key performance indicators (KPIs) and success metrics for all marketing programs
Co-design analytical use cases with Analytics/Reporting team
Support the development of dashboards and reporting systems with accurate KPIs, clear definitions, and meaningful strategic narratives
Partner with IT and Data Engineering to uphold data quality and governance while ensuring dependable access to certified datasets
Lead user acceptance testing (UAT) for new datasets, tools, dashboards, and integrations to ensure accuracy and usability
Develop automated reporting solutions and data pipelines to improve efficiency and accuracy.

Requirements

6 years of experience in marketing data strategy and analytics using marketing technology and analytics platforms
Advanced skills in data visualization tools Tableau or Power BI
Strong SQL skills for data extraction, manipulation, and analysis
Understanding of data warehousing concepts and cloud platforms (e.g. BigQuery, AWS, Redshift)
Proven experience establishing marketing data quality standards and governance frameworks for complex, multi-source datasets with varying levels of documentation and completeness
Demonstrated expertise as a cross-dataset SME with deep knowledge of multiple data sources, their interrelationships, limitations, and appropriate use cases - including reconciling disparate data models and establishing unified measurement standards
Ability to communicate complex information in an understandable way to non-technical audiences
Strong collaboration and stakeholder management skills.
Bachelor's degree in information systems, data science, statistics, engineering, computer science, or related field
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 on data usage.

Benefits

Health insurance
Life insurance
Voluntary lifestyle benefits and wellness programs
Paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data strategydata analyticsdata visualizationSQLdata warehousingdata extractiondata manipulationdata pipelinesautomated reportingKPI development

Soft Skills

communicationcollaborationstakeholder managementuser acceptance testingproblem-solvinganalytical thinkingcross-functional teamworkstrategic thinkingattention to detailadaptability

Certifications

Google AnalyticsTableau