Fellow, Baseball Operations Data Quality

Minnesota Twins; Minneapolis (MN); Sur place; USD 25 000 - 30 000; Plein temps

Résumé du poste

The Minnesota Twins are seeking a Fellow in Baseball Operations Data Quality to join our data-driven team in Minneapolis. This 9-month fellowship runs February 2027 through October 2027, requiring a college senior or post-graduate, with 40 hours per week and an hourly rate of $20.

Responsibilities include data validation, profiling, cleansing, entry, and reporting; collaborate with Baseball Operations, Research, Systems, Scouting, and other teams; proficiency in SQL and Excel essential;

Qualifications

• Experience with data validation or data cleansing projects.
• Strong SQL and data querying skills are required.
• Proficiency with Excel and data reporting tools is essential.
• Knowledge of programming languages like Python or R is desirable.

Responsabilités

• Data Validation: execute validation routines across systems to identify issues.
• Data Profiling: analyze data patterns and trends to ensure quality.
• Data Cleansing: collaborate to resolve quality issues and cleanse data.
• Data Entry: organize and compile data into department systems.
• Monitoring and Reporting: track quality metrics and share updates with stakeholders.
• Process Improvement: contribute to data quality process enhancements.
• Collaboration: work with Baseball Operations, Research, Systems, Scouting and others.
• Assist with various administrative fellowship tasks.

Connaissances

SQL

Excel

Data validation

Data cleansing

Data profiling

Formation

College senior or post graduate

Outils

Python

R

Description du poste

Fellow, Baseball Operations Data Quality

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.

Essential Duties and 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 resolve 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.
• Data Entry: Organize, fill, and retrieve various data information and compile into department systems.
• 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 Baseball Operations, Baseball Research, Baseball Systems, Scouting, and other cross-functional teams to resolve data-related challenges and support data-driven projects.
• Assist with 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.

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.
• Knowledge and 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 2027 - October 2027.

Hours: 40 hours/week.

Compensation: Hourly rate of $20.00/hour.

Location: Minneapolis, Minnesota

Applications Closing: November 25th. (Subject to change based on candidate volume; early submission is encouraged)