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Senior Analyst, Baseball Analytics - Texas Rangers (Arlington · TX)

Texas Rangers Jobs
Jobs in Arlington · TX
Other (consulting, membership, non-profit, real estate): Other
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It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

 JOB SUMMARY: Senior member of the Analytics team responsible for analytical initiatives, operations, and processes related to baseball operations and its supporting departments.


  • Build and deploy analytical tools, metrics, and models in support of Baseball Operations’ initiatives and decision making

  • Oversee maintenance and improvement of key analytical models and infrastructure

  • Create data visualizations that communicate key ideas, principles, and findings in an easily accessible and compelling way

  • Represent R&D to stakeholders in discussing new projects, priorities, and resolving issues

  • Provide feedback to leadership on opportunities to improve our processes, priorities, and decision making

  • Contribute to management of day-to-day work and professional development of other analysts, providing feedback, code-reviews, and assistance as needed

  • Coordinate with analysts and developers to ensure high quality tools are available to decision makers

  • Remain at the forefront of game changing research and ideas to constantly evolve our operations to be in alignment with best practices

  • All other duties as assigned


  • B.S. Degree or higher in mathematics, engineering, computer science, data science, a related technical field, or have equivalent work experience. Advanced degree preferred.

  • Strong proficiency in commonly used analytical tools and programming languages such as SQL, R, and Python

  • Expertise in baseball analytics, data, and technologies

  • Experience working with cloud computing, storage, and warehousing (AWS, GCP, Snowflake, Databricks, etc)

  • Working knowledge of concepts such as predictive modelling, cloud computing, machine learning, artificial intelligence, and Bayesian statistics

  • Proficiency in data visualization principles, techniques, and software (Tableau, Power BI, RShiny, etc)

  • Strong written, verbal, and visualization skills

  • A creative mindset, open-mindedness, and desire to work in a learning culture

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job.  They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the job.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!