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Fellow, Data Strategy & Analytics - MLS

KC Current

{Fulltime}OfficeWith Experience

Riverside · MO

Salary:

🥅 sports

DS/ML/AI

Note: This job has expired and is no longer accepting applications.

**Join the Team.**Kansas City Current is home to the best-in-class training facility and the first stadium built for a women’s sport team. Our organization is committed to seeing the fullest potential of our athletes and of our city. 

To foster our vision, we prioritize hiring and retaining world-class talent. We’re looking for talented individuals with diverse perspectives, skill sets, and backgrounds to provide our guests with an unforgettable experience. As leaders in women’s sports, we are excited to offer a variety of positions within our front office, stadium, and event settings. We provide opportunities for professional growth and development and invest in our employees through competitive pay, robust health care and wellness benefits, and employee resources and networking.

Overview of the ProgramOver the course of the program, fellows will gain meaningful, hands-on real experience managing our core business data sources, dashboards and reports. The program will provide regular opportunities for professional development, exposure to organizational leadership and the ability to develop skills vital to the Fellow’s future career growth. In addition, the Fellow will create a capstone project presented at the end of the program. This is an on-site position, working out of the University of Kansas Training Center in Riverside, Missouri. The Fellow is expected to commit to the entire duration of the program.  Program Length: May 2025 – December 2025 *Participation in the program does not imply or guarantee full-time employment with the Kansas City Current upon program completion.Who are we hiring? Are you passionate about using data to drive insights and decision-making? Do you have a keen interest in analytics, data science, and business intelligence? Our Data & Analytics Fellowship is designed to provide aspiring data professionals with hands-on experience, mentorship, and exposure to real-world analytics challenges. We are looking for individuals who are eager to deepen their knowledge and experience in data and analytics. Ideal candidates should have: A background in statistics, mathematics, computer science, economics, or a related field.

  • Experience with data analysis tools such as SQL, Python, R, or similar.
  • Familiarity with data visualization tools like Tableau, Power BI, or Looker.
  • Strong analytical and problem-solving skills.
  • Ability to work both independently and collaboratively in a team environment.

**What will you do?**Core Business ReportingThe Fellow will be responsible for maintaining and improving all our Core Business Data Sources, Pipelines and Dashboards:* Ticketing

  • Parking
  • Customer Data
  • Merchandise and Retail
  • Food and Beverage
  • League Reporting
  • Executive Reporting

 Project RequirementAs part of the fellowship, the fellow will be required to complete a data-driven project that aligns with business objectives and demonstrates analytical problem-solving skills. The project proposal must be submitted for approval by the Vice President, Data Strategy & Analytics before execution. Fellows will be expected to:* Identify a key business challenge that can be addressed through data analytics

  • Develop a structured approach using data collection, analysis, and visualization techniques
  • Document the needed pipelines, dashboards and reports
  • Present findings and recommendations to stakeholders at the conclusion of the fellowship

 Other duties as assigned 

What do you need to succeed?  Education and Experience* Bachelor’s degree in statistics, mathematics, computer science, economics, or a related field

  • Pursuant or completion of a Masters Degree (preferred)

 Technical Skills* Ability to extract insights from structured and unstructured data.

  • Proficiency in Python, R, or SQL for data manipulation and analysis.
  • Experience with tools like Tableau, Power BI, or Looker to create compelling dashboards and reports.
  • Basic understanding of predictive modeling, regression analysis, and clustering (Optional).
  • Familiarity with relational databases and querying data efficiently.

 Soft Skills* Ability to assess data objectively, identify patterns, and generate meaningful insights.

  • Aptitude for breaking down complex data challenges and providing actionable solutions.
  • Ability to translate data findings into clear, non-technical language for stakeholders.
  • Willingness to work across departments and contribute to team success.
  • Enthusiasm for exploring new tools, techniques, and industry trends.

 Work Ethic & Attitude* Ensuring data accuracy and reliability.

  • Comfort in a fast-paced, dynamic environment with evolving project requirements.
  • Proactive approach to learning and problem-solving without constant supervision.

Special requirements of the Job:* Must be able to work a flexible schedule, inclusive of weekends, nights (event evenings & overnight operation shifts) and holidays.

  • Ability to work on-site located at the KC Current Training Facility in Riverside Missouri
  • Ability to monitor company communications and respond to time sensitive matters with senior executives.
  • Ability to sit for extended periods of time.

 We value diversity and seek world-class employees of all backgrounds. The Kansas City Current values diversity and is looking for extraordinary employees of all backgrounds! We are an Equal Opportunity Employer and provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, sexual and reproductive health choices, national origin, citizenship, age, genetic information, disability, or veteran status. In addition to federal law mandates, we comply with all applicable state and local laws governing nondiscrimination in all locations and will consider requests for reasonable accommodations as required.

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