Analyst, Major League Strategy & Analytics
- Baltimore, MD, United States
$60,000 to $80,000 USD / year
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Job details
- Pay
- $60,000 to $80,000 USD / year
- Posting language
- English
- Posted
Original job description
JOB TITLE: Analyst, Major League Strategy & Analytics
DEPARTMENT: Baseball Strategy
FLSA STATUS: Part-time/Seasonal
LOCATION: Baltimore, MD
REPORTS TO: Assistant General Manager
JOB SUMMARY: The Major League Strategy & Analytics Analyst connects Baseball Operations and Research & Development with the Major League coaching staff, using data, models, and scouting information to deliver clear recommendations that coaches and players can deploy. This position reports to the Assistant General Manager and works closely with the Major League Manager and coaching staff, Major League Advance Scouting, Research & Development, Player Development, Professional Scouting, and Major League players.
PRIMARY RESPONSIBILITIES:
Primary duties include, but are not limited to, the following:
- Prepare opponent breakdowns in advance of each series across all pillars of the game, including offense, defense, baserunning, and pitching.
- Convert analytical processes and models into concise, actionable takeaways that players and coaching staff can use for decision-making and game preparation.
- Act as the coaching staff’s go-to analytical resource in the clubhouse.
- Serve as a liaison between the Major League staff and the Baseball Analytics department, ensuring coaching staff questions regarding advanced information are answered in a timely and accurate manner.
- Analyze and provide feedback to the Analytics department on which analytical tools have the highest impact among staff and players and which tools can be improved upon.
- Use SQL and R/Python daily to filter through large sets of information in an organized way.
- Travel with the club and willingness to work non-traditional hours (nights, weekends, holidays) as dictated by Orioles and MLB schedule.
WORK LOCATION & TRAVEL REQUIREMENTS:
- Position is based primarily in Baltimore, with travel alongside the Major League team during Spring Training and the regular season.
QUALIFICATIONS
- Completion of Bachelor’s degree, with a preference but not limited to Statistics, Mathematics, Computer Science, Data Science, or equivalent.
- Experience with creating and completing advance materials for a Major League club.
- Proficiency with SQL, R/Python, and familiarity with Statcast and Hawk-Eye data.
- Excellent interpersonal skills with ability to collaborate with players and staff members of various backgrounds and responsibilities, and present advanced information in a clear and actionable way.
- Familiarity with MLB’s in-game and transaction rules.
*Applicants with various and/or non-traditional educational background and experience will be considered and are encouraged to apply
The anticipated base salary for this role is $60,000 - $80,000 annually depending on experience.
The Baltimore Orioles are committed to providing competitive pay and benefits for our employees.
The Baltimore Orioles provide generous benefits, including unlimited PTO, paid holidays, paid sick leave, health insurance (single and family), vision and dental coverage, life insurance, 401(k) plan with discretionary employer match, concession/merchandise discounts, free parking and complimentary baseball tickets to home games.
This information is being provided in accordance with the Maryland Equal Pay for Equal Work - Wage Range Transparency law.
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.
More about this job
Skills
- Research
- Coaching
- Decision making
- SQL
- R
- Python
- Statistics
- Computer science
- Interpersonal skills