Fellow, Baseball Operations Data Quality

Nichols College; Dudley; On-site; GBP 40,000 - 60,000; Part time

Job summary

A professional baseball organization in the UK is seeking a Fellow for Baseball Operations Data Quality. This role involves executing data validation routines, collaborating with cross-functional teams, and supporting data-driven projects. Ideal candidates are college seniors or post-graduates proficient in SQL, Excel, and possess strong communication skills. The position offers an hourly rate of $18.00 and is based in Dudley, England.

Qualifications

• Proficient in SQL and data querying languages.
• Strong organizational skills and attention to detail.
• Positive attitude and willingness to learn.

Responsibilities

• Execute data validation routines.
• Conduct data profiling.
• Collaborate with data engineering teams.

Skills

Proficiency in SQL

Fluency with Microsoft Excel

Excellent communication skills

Strong analytical skills

Attention to detail

Education

College senior or post-graduate

Job description

Overview

Fellow, Baseball Operations Data Quality

Recruitment began on September 11, 2025 and the job listing Expires on September 22, 2025

Full-Time Job, Internship Hospitality, Events & Tourism, Sport Management, Sport Management

About the Minnesota Twins

At the Minnesota Twins, we are driven by a singular purpose – to up the game, on the field and off. Unwavering in our commitment to deliver championships and be a force for good, our innovative, diverse and incredibly talented team is creating new ways to win, to uplift and to unite. We are proud to be Minnesota’s baseball team. We believe in our power to create positive change. We are setting the standard for a modern sports and entertainment brand that shapes a better tomorrow for all.

Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Data Validation: Execute data validation routines and assess data quality across various systems to identify and rectify inconsistencies, anomalies, and errors within datasets.
• Data profiling: Conduct data profiling to analyze data patterns, trends, and potential issues that may impact data accuracy and completeness.
• Data Cleansing: Collaborate with data owners and subject matter experts to resolve data quality issues and perform data cleansing activities as necessary.
• Monitoring and Reporting: Monitor data quality metrics and generate regular reports to communicate data quality status to stakeholders.
• Process Improvement: Contribute to continuous improvement initiatives to enhance data quality processes and data management practices.
• Collaboration: Collaborate with data engineering, data science, and other cross-functional teams to resolve data-related challenges and support data-driven projects.
• Data Entry: Organizing, filing, and retrieving various data information and compiling into department systems.
• Assisting in various administrative support tasks throughout the fellowship, as needed.
• In addition to the tasks above, there is ample opportunity for areas of personal interest/development through self-determined projects and access to Baseball Operations personnel, information, and systems.

Qualifications

Required Experience and Education:

• College senior or post-graduate only.

Essential Knowledge, Skills, and Abilities:

• Proficiency in SQL and data querying languages.
• Fluency with Microsoft Office programs, especially Excel, and an understanding of baseball.
• Excellent communication skills, both written and verbal, and ability to work effectively in a team environment.
• Strong organizational skills, attention to detail, and ability to spot patterns in data.
• Strong analytical and problem-solving skills.
• Positive and proactive attitude and willingness to learn and adapt to new technologies and tools.
• Ability to foster and maintain meaningful relationships.
• Valid driver’s license and comfortable driving in the Twin Cities metro area.

Preferred Knowledge, Skills, and Abilities

• Prior experience with data validation or data cleansing projects (internships, academic projects) is advantageous.
• Knowledge of programming languages (Python, R, etc.) is desirable but not mandatory.

Physical Requirements

• Ability to lift up to 50 pounds.

Time Commitment

February 2026 – October 2026.

Hours

40 hours/week.

Compensation

Hourly rate of $18.00/hour.

Applications Closing

September 22nd. (Subject to change based on candidate volume; early submission is encouraged)