At a Glance
- Tasks: Validate and cleanse data to ensure top-notch quality for baseball operations.
- Company: Join the Minnesota Twins, a team committed to innovation and positive change.
- Benefits: Earn $18/hour with opportunities for personal development and networking.
- Other info: Gain hands-on experience in a collaborative environment from February to October 2026.
- Why this job: Be part of a dynamic team that shapes the future of baseball through data.
- Qualifications: Must be a college senior or post-graduate with SQL proficiency.
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)
Fellow, Baseball Operations Data Quality in Dudley employer: Nichols College
The Minnesota Twins offer an exceptional work environment that fosters innovation, collaboration, and personal growth within the realm of sports management. As a Fellow in Baseball Operations Data Quality, you will not only gain hands-on experience in data validation and analysis but also have the opportunity to engage with a diverse team dedicated to making a positive impact on and off the field. With a commitment to employee development and a culture that values creativity and teamwork, the Twins are an ideal employer for those looking to make meaningful contributions in the world of baseball.
StudySmarter Expert Advice🤫
We think this is how you could land Fellow, Baseball Operations Data Quality in Dudley
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Fellow, Baseball Operations Data Quality in Dudley
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Nichols College will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Nichols College
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Nichols College.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Nichols College that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
