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Major League Soccer · 10 hours ago

Director, Strategy & Business Intelligence – Marketing Analytics

New York, NY

Full-time

Hybrid

Director/Executive

$130K/yr - $150K/yr

8+ years exp

Major League Soccer is seeking a Director of Marketing Analytics to support strategic decision making and resource allocation across the League. This role involves applying advanced analytics to fan and marketing data to uncover trends, enhance fan engagement, and optimize marketing investments.

Media and EntertainmentSoccerSports

Responsibilities

Apply advanced statistical and machine learning models to measure and predict marketing performance (e.g., media mix modeling, multi-touch attribution, churn and LTV forecasting, audience clustering)

Analyze fan and marketing data within the Fan Genome platform to identify trends in engagement, retention, and conversion

Build and refine fan attributes, predictive scores, and segmentation models that inform targeting and personalization strategies at League and Clubs

Design and analyze marketing experiments (A/B, multivariate, holdout tests) to determine causal impact of campaigns

Translate data science model outputs into actionable insights and recommendations for the Marketing organization

Build and maintain recurring dashboards and automated reports connecting campaign data, model results, and business KPIs

Partner with Data Engineering to operationalize model outputs into CRM and marketing platforms (Salesforce, Braze, Marketo, etc.)

Ensure data quality and consistency across marketing data sources and analytical environments

Present analytical findings in clear, concise, and visual formats for both technical and non-technical stakeholders

Qualification

SQLPythonMarketing analytics modelingDashboarding softwareCRM marketing tacticsData science operationalizationCausal inferenceInterpersonal skillsProblem-solving skillsAttention to detail

Required

Bachelor's Degree required

8+ years of experience required

Strong SQL skills (AWS, Snowflake or MySQL)

Extensive Python experience

Experience with dashboarding software (Power BI, Looker or Tableau)

Ability to gather and clearly communicate technical requirements to Data Engineering and Martech teams

Demonstrated mastery of CRM and Paid Media Marketing tactics

Strong experience with marketing analytics modeling techniques (MMM, MTA, regression, clustering, uplift, and time-series forecasting)

Familiarity with lifecycle marketing analytics, marketing automation, and customer journey optimization using platforms such as Salesforce Marketing Cloud, Braze, Marketo, etc

Experience operationalizing data science models into production systems or marketing workflows

Understanding of causal inference and experimental design in marketing contexts

High-level of commitment to a quality work product and organizational ethics, integrity and compliance

Ability to work effectively in a fast paced, team environment

Strong interpersonal skills and the ability to effectively communicate, both verbally and in writing

Demonstrated decision making and problem-solving skills

High attention to detail with the ability to multi-task and meet deadlines with minimal supervision

Proficiency in Word, Excel, PowerPoint and Outlook