Marketing Data Strategist

Fannie Mae

Marketing Data Strategist optimizing Fannie Mae’s housing-finance marketing through KPI architecture, dashboards, and data governance. Building reporting solutions and pipelines with Tableau, Power BI, and SQL.

Posted 8/19/2026full-timeWashington, DC • District of Columbia, Texas, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $109,000 - $142,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing marketing data strategies, ensuring data quality and governance, and utilizing analytics tools like Tableau and SQL for performance measurement. Proficient in translating business requirements into technical specifications while effectively communicating insights to diverse audiences.

Highest-signal resume keywords

Marketing Data StrategyAdvanced Tableau SkillsStrong SQL SkillsData Governance FrameworksCampaign Effectiveness Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ExtractionData ManipulationData Warehousing ConceptsData Quality StandardsUnified Measurement StandardsAutomated Reporting SolutionsData PipelinesAudience SegmentationTechnical Documentation

Soft Skills

Storytelling SkillsPresentation SkillsCommunication SkillsCuriosityAdaptability

Tools & Technologies

TableauPower BISalesforce Marketing CloudGoogle Analytics 4SegmentMParticleAdobe Experience PlatformBigQueryAWSRedshift

Industry Keywords

GDPRCCPAMarketing TechnologyAnalytics PlatformsMulti-Source DatasetsFunnel AttributionContent EffectivenessCampaign PerformanceJourney FrictionData Privacy Regulations

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudSQLTableau

About the role

Key responsibilities & impact

Define how marketing should use data to measure and optimize performance and personalization strategies
Develop and implement data strategies aligned with marketing objectives and business goals
Own governance of marketing data, including KPIs, metrics, naming conventions, and documentation
Create and maintain marketing measurement plans
Audit datasets to identify gaps, inconsistencies, and consolidation or improvement opportunities
Partner with Analytics and Marketing teams to establish KPIs and success metrics
Co-design analytical use cases including funnel attribution, content effectiveness, campaign performance, demand efficiency, and journey friction
Support dashboards and reporting systems with accurate KPIs and strategic narratives
Partner with IT and Data Engineering to maintain data quality, governance, and access to certified datasets
Create and maintain technical documentation including data dictionaries and models
Convert business requirements into technical requirements and define data collection and retrieval policies, procedures, and models
Lead user acceptance testing for datasets, tools, dashboards, and integrations
Prioritize ingestion and transformation work using a business-aligned roadmap
Develop automated reporting solutions and data pipelines
Evaluate emerging marketing technologies and data platforms and recommend adoption
Provide training and guidance on analytics tools and best practices

Requirements

What you’ll need

4 years of experience in marketing data strategy and analytics using marketing technology and analytics platforms
Advanced skills in Tableau or Power BI
Strong SQL skills for data extraction, manipulation, and analysis
Understanding of data warehousing concepts and cloud platforms such as BigQuery, AWS, or Redshift
Experience establishing marketing data quality standards and governance frameworks for complex, multi-source datasets
Expertise as a cross-dataset subject matter expert with knowledge of multiple data sources, interrelationships, limitations, and use cases
Ability to reconcile disparate data models and establish unified measurement standards
Ability to communicate complex information to non-technical audiences
Curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence
Bachelor's degree required
Ability to analyze campaign effectiveness, audience behavior, and segmentation
Strong storytelling and presentation skills for senior and executive audiences
Experience managing marketing datasets such as Salesforce Marketing Cloud, SEO, and Google Suite (GA4, Campaign Manager, Search Console)
Experience with customer data platforms such as Segment, mParticle, or Adobe Experience Platform
Familiarity with GDPR and CCPA data privacy regulations

Benefits

Comp & perks

Incentive program eligibility
Health benefits
Life benefits
Voluntary Lifestyle benefits
Other benefits and perks supporting physical, mental, emotional, and financial well-being
Latest technology and AI
Employee growth and success opportunities