Job Application for Director, Business Analytics at Baltimore Orioles

Job Title: Director, Business Analytics

Reports to: Chief Strategy Officer

Location: Baltimore, MD

Type: Full-time, Exempt

Position Summary:

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 Ticketing (primary and secondary market Ticketing strategy), Concessions & Retail, and Marketing, including pricing, product mix, and buyer-type insights, and distill findings into concise and actionable recommendations
- Support Sponsorship 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, multi-task, and manage major projects with deadlines, often in an ambiguous environment

The anticipated salary for this role is $175,000-$210,000 annually depending on experience, plus bonus opportunity.

The Baltimore Orioles are committed to providing competitive pay and benefits for our employees.

The Baltimore Orioles provide generous benefits, including paid vacation, paid holidays, paid sick leave, health insurance (single and family), vision and dental coverage, life insurance, concession/merchandise discounts, free parking and complimentary baseball tickets to home games. 401(k) plan with discretionary employer match available after one year of service and 1,000 hours is also available.

This information is being provided in accordance with the Maryland Equal Pay for Equal Work - Wage Range Transparency law.

Posted: 11/5/2025

DISCLAIMER:

The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The duties listed do not represent an exhaustive list of all responsibilities, duties, and skills required of a person in this position.

EQUAL OPPORTUNITY STATEMENT:

The Baltimore Orioles are an Equal Opportunity Employer. It is the policy of the Baltimore Orioles to ensure equal employment opportunity without discrimination or harassment on the basis of race (including hair textures, afro hairstyles, or protective hairstyles), color, national origin or ancestry, religion or creed, gender or sex (including pregnancy), age, disability, citizenship status, marital status, veteran’s status, genetic predisposition or carrier status, gender identity, sexual orientation, or any other characteristic protected by law.

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