The Milwaukee Brewers are currently seeking an Analyst in the Baseball Research and Development Department. The Analyst will deliver research and tools to improve decision making working with the Baseball R&D, Baseball Systems departments and the entire Baseball Operations Department. The position requires a person who has intellectual curiosity, is a self-starter and can communicate technical and analytical concepts effectively to non-technical people. Being passionate about using data, analysis and technology to improve decision making processes is also a key differentiator.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned.
- Evaluate existing data sources and build predictive or explanatory models to aid in a variety of player acquisition, player development and gameplay decisions
- Investigate emerging data sources and identify potential for predictive value and actionable insights to improve decision making.
- Develop visualizations and other mechanisms for disseminating analytical results to Baseball Operations, including consideration for less technically and analytically inclined consumers.
- Continually survey latest analytical methods and advancements in Baseball Research to apply cutting edge methods and data to problems.
- Understand current decision processes and information systems and offer enhancements and improvements.
- Ad-hoc requests for reports, visualizations and research projects during the year.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
- Understanding of basic statistical modeling techniques, including, but not limited to, linear regression, logistic regressions, machine learning, etc.
- Proficiency with an analytical software platform required (for example, R or Mathematica).
- Proficiency with SQL and SQL databases required, Microsoft SQL preferred.
- Proficiency with data scripting language or ETL environment (Python, PERL, SSIS, etc.) desired.
- Proficiency with C# desired.
Education and/or Experience
Bachelor's degree (B.S./B.A.) in Computer Science, Mathematics, Statistics, Operations Research, or related field from four-year college or university. Advanced degree or current pursuit of advanced degree in one of the areas mentioned above or a related field is desirable.
To perform the job successfully, an individual should have knowledge of Microsoft office software including Word, Excel, PowerPoint, Access, Outlook, and Internet Explorer.
Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis.
Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
Business hours are Monday – Friday 9 am – 5pm, however, additional hours may be required on weekends, evenings and some holidays.
Occasional travel to remote sites, including spring training sites, affiliate sites, conferences or other major league facilities may be required. Estimated travel time is less than 10%.