×
Register Here to Apply for Jobs or Post Jobs. X

Director, Business Analytics

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Baltimore Orioles
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

The Baltimore Orioles organization is a storied Major League Baseball franchise with a proud tradition, passionate fans, and a deep connection to Baltimore. Under new leadership, the team is entering an exciting chapter focused on building a winning tradition, delivering a world-class fan experience, fostering innovation, and making a meaningful impact in our community.

We are seeking a Director of Business Analytics to help shape transformational decisions that will redefine how our organization operates, engages our community, and achieves sustained excellence on and off the field. In this role, you will advance data-driven decision‑making, driving revenue growth, enhancing fan engagement, and improving operational effectiveness. The ideal candidate has experience leveraging data within a sports organization, including structuring, warehousing, and visualizing data effectively;

developing and monitoring KPIs; designing and executing data-driven experiments; and solving critical business challenges through analysis. This role will streamline all data platforms and tools within the Orioles’ business ecosystem, supporting organizational alignment and serving as a thought partner for department leaders across the organization.

Key Responsibilities
  • Shape the Game Plan (Data Strategy and Roadmap)
    • Partner with business stakeholders to develop and execute a comprehensive data roadmap centered on
      1) establishing a single source of truth,
      2) enabling data-driven decision-making, and
      3) improving organizational transparency and accountability
    • Assess and evolve the Orioles' data tech stack (CRM; data warehouse that integrates Ticketing, CRM, Concessions, and Marketing data; etc.) to enhance capabilities, efficiency, and adoption across the business
    • Ensure data infrastructure, tools, and processes comply with MLB data governance and privacy policies
  • Guide Big Decisions (Analytics and Insights)
    • Design and deliver executive-level dashboards and reports that track KPIs and provide timely visibility into business performance
    • Lead predictive modeling efforts to inform strategic decisions (e.g., fan retention, purchase propensity, pricing optimization)
    • Execute high-impact analyses across T icketing (primary and secondary market Ticketing strategy), Concessions & Retail, and M arketing, including pricing, product mix, and buyer-type insights , and distill findings into concise and actionable recommendations
    • Support S ponsorship initiatives, including category and asset valuation analyses, consumer and brand research, and performance tracking and reporting
  • Strengthen Collaboration, Efficiency, and Impact
    • Standardize reporting frameworks and research methodologies to improve clarity, consistency, and reliability of insights
    • Partner with Strategy to transform data into meaningful insights that spur business action
  • Lead and Inspire the Team
    • Manage, mentor, and develop a high‑performing team of technical specialists (e.g., Data Engineers, Business Intelligence Analysts) to serve as objective, reliable data resources for the organization
    • Foster a culture of analytical excellence, integrity, and curiosity
Qualifications
  • Bachelor’s degree in a quantitative field (Mathematics, Statistics, Computer Science, etc.) with strong record of academic achievement; master’s degree preferred
  • 7+ years of experience in data analytics, data science, data engineering, preferably in Sports and/or Media & Entertainment
  • Exceptional ability to distill and interpret raw data to offer creative, practical, actionable insights; experience making data and insights accessible to broad and diverse audiences
  • Experience building and managing a data vendor stack that enhances data use
  • Strong foundation in data governance, data warehousing, and ETL processes
  • Hands‑on experience developing and implementing predictive models to forecast trends and behaviors; proficient in R, Python, and SQL
  • Expert knowledge of data visualization tools (e.g., Tableau, Power BI); proven experience developing dashboard suites centered on clarity, accuracy, and effective storytelling
  • Impeccable attention to detail and organizational skills; ability to work cross‑functionally, prioritize,…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary