Data-Driven Marketing Strategist

Jobtailor

Washington (District of Columbia)

On-site

USD 120,000 - 180,000

Full time

10 days ago

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Job summary

Jobtailor in the United States is seeking a senior Marketing Data Strategist to shape how marketing uses data for measurement, optimization, and personalization. You will own data governance, KPIs, dashboards, and measurement plans, partnering with Analytics and IT to ensure high-quality, auditable datasets.

The role requires 4+ years in marketing data strategy, advanced Tableau/Power BI, strong SQL, and experience with cloud data warehouses.

Qualifications

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.

Responsibilities

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.