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Director Baseball Data Analyst Jobs in Reno, NV (NOW HIRING)

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Operations Regional EHS Director

Reno, NV · On-site

$140 - $180/hr

Operations Regional EHS Director The Operations Regional EHS Director provides strategic ... Drive continuous improvement through data analysis, root cause investigations, lessons learned, and ...

JCPenney

Supply Chain Facility Director

Reno, NV · On-site

$126.75 - $195.88/hr

Overview The Supply Chain Facilities Director manages and administers all operations of a Logistics ... and analysis of data and reports to ensure high service standards and operating efficiencies.

Starbucks

inventory analyst, 1st shift

Minden, NV · On-site

Pull, process & evaluate data with advanced knowledge of processes, procedures, and systems to ... Must be self-directed and work autonomously, ability to act as a subject matter expert and review ...

Berkshire Hathaway Energy

Payroll Analyst-Tax

Reno, NV · On-site

$29.50 - $38.50/hr

... data for the completion of payroll tax filings, tax payments and regulatory reports, daily ... Creates the direct deposit file, the child support file and the positive pay file, uploads all ...

Starbucks

inventory analyst, 1st shift

Minden, NV · On-site

Pull, process & evaluate data with advanced knowledge of processes, procedures, and systems to ... Must be self-directed and work autonomously, ability to act as a subject matter expert and review ...

JCPenney

Supply Chain Facility Director

Reno, NV · On-site

$126K/yr

... analysis of data and reports to ensure high service standards and operating efficiencies. • ... to direct complex operations in an efficient, effective manner and maintain a high level of ...

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All JobsBaseball Data Analyst JobsDirector Baseball Data Analyst JobsDirector Baseball Data Analyst Jobs in Reno, NV

Director Baseball Data Analyst information

What does a director baseball data analyst do?

A Director Baseball Data Analyst leads a team responsible for collecting, analyzing, and interpreting baseball-related data to support decision-making for a professional baseball organization. This role involves overseeing advanced statistical modeling, performance analysis, and the development of data-driven strategies to enhance player evaluation, scouting, and game tactics. The director collaborates closely with coaches, scouts, and front office executives to provide actionable insights that help optimize team performance and improve overall organizational success.

How does a director baseball data analyst typically collaborate with coaches and front office staff to influence team strategy?

A Director Baseball Data Analyst works closely with coaches and the front office by translating complex data into actionable insights that inform player development, game tactics, and roster decisions. Regular meetings and presentations are held to review findings, discuss player performance metrics, and evaluate strategic options. Effective communication is crucial, as analysts must bridge the gap between technical data and practical applications on the field, ensuring that stakeholders understand and can act on the recommendations provided. This collaborative environment fosters innovation and helps the team maintain a competitive edge.

What are the key skills and qualifications needed to thrive as a director baseball data analyst, and why are they important?

To thrive as a Director Baseball Data Analyst, you need deep expertise in statistical analysis, data modeling, and a strong background in sports analytics, typically supported by a degree in statistics, mathematics, or a related field. Advanced proficiency with programming languages like Python or R, experience with SQL databases, and familiarity with baseball-specific analytics tools such as TrackMan or Statcast are essential. Leadership, communication, and strategic thinking are crucial soft skills for guiding teams and translating data insights into actionable strategies. These skills are vital for driving data-informed decision-making that enhances team performance and competitive advantage.

What is the difference between Director Baseball Data Analyst vs Baseball Data Analyst?

AspectDirector Baseball Data AnalystBaseball Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Sports Management, or related field; extensive experienceBachelor's in Data Science, Sports Management, or related field; entry to mid-level experience
Work EnvironmentLeadership role overseeing teams, strategic planning, collaboration with executivesData analysis, reporting, and modeling primarily focused on specific projects
Employer & Industry UsageMajor league teams, sports organizations, analytics firmsTeams, sports organizations, analytics companies, media outlets

The main difference between a Director Baseball Data Analyst and a Baseball Data Analyst lies in their level of responsibility and scope. The director oversees teams, strategic initiatives, and high-level decision-making, while the analyst focuses on data collection, analysis, and reporting. Both roles require strong analytical skills and relevant credentials, but the director's role is more leadership-oriented.

What are popular job titles related to Director Baseball Data Analyst jobs in Reno, NV?

For Director Baseball Data Analyst jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Director Baseball Data Analyst jobs in Reno, NV look for?

The top searched job categories for Director Baseball Data Analyst jobs in Reno, NV are:

What cities near Reno, NV are hiring for Director Baseball Data Analyst jobs?

Cities near Reno, NV with the most Director Baseball Data Analyst job openings:

Director Baseball Data Analyst jobs near you
Infographic showing various Director Baseball Data Analyst job openings in Reno, NV as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Reno, NV • On-site

$125K/yr

Full-time

Posted 9 days ago

Key responsibilities

  • Identify, assess, and retrieve structured and unstructured data from multiple sources for data science projects.

  • Clean, transform, and integrate data, resolving issues such as missing values, outliers, and duplicates.

  • Apply data-mining models and statistical methods to analyze data, evaluate results, and support decision-making.

Internal Revenue Service rating

7.4

Company rating: 7.4 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

158th of 297 rated public sector bodies

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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