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Baseball Data Analyst Jobs in Minnesota (NOW HIRING)

Sr. Data Analyst ABOUT THE COMPANY Crecera Brands is the driving force behind Sportsman's Guide, Salt Strong, The Golfer's World, Play Baseball and Play Softball, five of America's leading retailers ...

We are currently looking for an Inventory Analyst to support the Baseball and Softball categories ... This position will generate accurate item-level demand forecasts using historical sales data and ...

Analyst Inventory Planning

Bloomington, MN ยท On-site

$62K - $85K/yr

We are currently looking for an Inventory Analyst to support the Baseball and Softball categories ... This position will generate accurate item-level demand forecasts using historical sales data and ...

Analyst Inventory Planning

Minneapolis, MN ยท On-site

$62K - $85K/yr

We are currently looking for an Inventory Analyst to support the Baseball and Softball categories ... This position will generate accurate item-level demand forecasts using historical sales data and ...

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Baseball Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do baseball data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for baseball data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a baseball data analyst?

A Baseball Data Analyst is a professional who uses statistical methods and data modeling to evaluate player performance, team strategies, and game outcomes in baseball. They collect and analyze data from games, practices, and scouting reports to provide insights that can help teams make informed decisions. Their work might include creating predictive models, visualizing trends, and presenting findings to coaches, managers, or front office staff. Baseball Data Analysts play a key role in player recruitment, development, and in-game strategy. They typically have a background in statistics, mathematics, or computer science, often paired with a deep understanding of baseball.

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

To thrive as a Baseball Data Analyst, you need strong quantitative analysis skills, a background in statistics or mathematics, and a solid understanding of baseball fundamentals. Proficiency with data analysis tools such as R, Python, SQL, and experience using baseball-specific data platforms like TrackMan or Statcast are typically required. Exceptional attention to detail, effective communication, and the ability to work collaboratively with coaches and players make someone stand out in this role. These skills and qualities are crucial for accurately interpreting data, informing strategic decisions, and maximizing team performance.

How does a baseball data analyst typically collaborate with coaches and players to improve team performance?

Baseball Data Analysts work closely with coaches and players by translating complex data into actionable insights that can impact game strategy and player development. They often present statistical findings in clear, visual formats to help coaches make informed decisions about lineups, defensive positioning, and in-game tactics. Regular meetings and open communication ensure that data-driven recommendations are understood and integrated into training sessions and game plans. This collaboration fosters a culture of continuous improvement and innovation within the team.

What does a baseball data analyst do?

As a baseball data analyst, your primary responsibilities are to gather baseball statistics, provide analysis, and report the results to understand frameworks for players and develop a model. Your duties may involve using advanced statistical methods, completing data mining, designing and testing predictive models, creating tools, integrating data, and executing SQL databases. You work with sabermetrics and other analytical software to evaluate the performance of players during games throughout the season and interpret that information to assist teams with player decisions. Baseball data analysts work for the MLB as well as collegiate teams.

What are the most commonly searched types of Baseball Data Analyst jobs in Minnesota? The most popular types of Baseball Data Analyst jobs in Minnesota are:
What are popular job titles related to Baseball Data Analyst jobs in Minnesota? For Baseball Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Baseball Data Analyst jobs in Minnesota look for? The top searched job categories for Baseball Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Baseball Data Analyst jobs? Cities in Minnesota with the most Baseball Data Analyst job openings:
Infographic showing various Baseball Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Sr Data Analyst - Crecera Brands

Windquest

Minneapolis, MN โ€ข On-site

$75K - $110K/yr

Full-time

Re-posted 20 days ago


Job description

Sr. Data Analystย 

ย  ย  ย  ย  ย  ย  ย Job Descriptionย 

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ABOUT THE COMPANY
Crecera Brands is the driving force behind Sportsmanโ€™s Guide, Salt Strong, The Golferโ€™s World, Play Baseball and Play Softball, five of Americaโ€™s leading retailers of outdoor gear, sporting goods and golf supplies. For nearly 50 years, our companies have been dedicated to helping our customers enjoy the fun, freedom, and traditions of the great outdoors. From hunting and fishing to playing ball and hitting the links, the companies of Crecera Brands deliver the gear you need to succeed. Our websites include sportsmansguide.com, tgw.com, saltstrong.com, playbaseball.com and playsoftball.com.


Position Overview
We are seeking for a Senior Data Analyst to transform complex data into actionable insights that drive business within our golf, baseball and softball businesses. This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau, and Snowflake to support strategic and operational initiatives. The ideal candidate is a hands-on analyst who can work across stakeholders, build scalable data solutions, and communicate insights clearly to both technical and non-technical audiences.


Key Responsibilities

โ€ข Data Analysis & Insights
o Analyze large, structured datasets to identify trends, patterns, and opportunities
o Translate business questions into data-driven analyses and actionable recommendations
o Design and execute exploratory and statistical analyses using Python and R
o Develop KPIs and metrics to monitor performance and support business strategy

โ€ข Data Management & SQL
o Write complex, optimized SQL queries to extract, transform, and validate data
o Work with data warehouses (e.g., Snowflake) to manage and model data
o Ensure data quality, integrity, and consistency across systems

โ€ข Visualization & Reporting
o Build interactive dashboards and reports in Tableau (or similar BI tools)
o Provide clear storytelling through data to influence decision-making
o Automate reporting processes and improve accessibility of insights

โ€ข Stakeholder Collaboration
o Partner with cross-functional teams (e.g., Product, Finance, Marketing, Operations)
o Gather requirements and translate business needs into analytical solutions
o Present findings and recommendations to leadership

โ€ข Advanced Analytics & Continuous Improvement
o Develop predictive models or advanced analytics solutions where needed
o Identify opportunities to improve data processes, tools, and governance
o Mentor junior analysts and contribute to best practices


Required Qualifications
โ€ข Must be legally authorized to work in the United States without sponsorship for employment visa status (e.g., TN, H1B status)
โ€ข Bachelorโ€™s degree in data analytics, statistics, computer science, economics, data science, or related field
โ€ข 4+ years of experience in data analytics or a related role
โ€ข Advanced proficiency in SQL, Python and/or R, Tableau or similar BI tools
โ€ข Strong experience working with data warehouses and large datasets
โ€ข Solid understanding of statistics, data modeling, and analytical methods
โ€ข Proven ability to communicate insights to business stakeholders
Preferred Qualifications
โ€ข Experience with modern data stacks (i.e. Snowflake etc.)
โ€ข Experience with Adobe Analytics or Google Analytics
โ€ข Exposure to A/B testing, machine learning, or predictive modeling
โ€ข Experience in a DTC e-commerce environment
โ€ข Experience mentoring or leading projects
Key Competencies
โ€ข Analytical problem-solving
โ€ข Business acumen
โ€ข Data storytelling & visualization
โ€ข Attention to detail
โ€ข Collaboration and influence

Compensation:
Base Salary: $75,000 - $110,000 depending on experience and qualifications