Marketing Data Analyst

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 Requirements 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 Core Competencies 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 Strategy Advanced Tableau Skills Strong SQL Skills Data Governance Frameworks Campaign Effectiveness Analysis ATS Optimization Keywords Hard Skills Data Analysis Data Extraction Data Manipulation Data Warehousing Concepts Data Quality Standards Unified Measurement Standards Automated Reporting Solutions Data Pipelines Audience Segmentation Technical Documentation Soft Skills Storytelling Skills Presentation Skills Communication Skills Curiosity Adaptability Industry Keywords GDPR CCPA Marketing Technology Analytics Platforms Multi-Source Datasets Funnel Attribution Content Effectiveness Campaign Performance Journey Friction Data Privacy Regulations Tools & Technologies Tableau Power BI Salesforce Marketing Cloud Google Analytics 4 Segment MParticle Adobe Experience Platform BigQuery AWS Redshift #J-18808-Ljbffr