Kansas City, KS

Data Jobs in Kansas City, KS

3 jobs found

Include remote jobs

1d ago

Data Scientist

Sporting Kansas City Kansas City, KS

Kansas City, KS

1d ago

Full time Analytics Business Analytics Business Intelligence

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Job Description

Sporting Kansas City is hiring a Data Scientist in Kansas City, KS (onsite) to build and validate predictive and decision-support models that drive football performance insights.

Responsibilities

Partner with coaches, analysts, scouts, and other stakeholders to identify football questions and convert them into advanced modelling projects
Build strong relationships across the Data and Analytics team to ensure alignment with Club and department strategy
Work closely with the First Team Data Engineer to ensure models are supported by reliable data and production-ready workflows
Collaborate with the First Team Data Analyst to translate model outputs into clear, actionable insights
Support cross-Club collaboration and communication as needed, championing adoption of advanced analytics across Sporting Kansas City
Lead end-to-end development of applied advanced modelling projects, from problem definition through deployment and review cycles
Create tools and best practices for experimentation, including testing, validation, versioning, monitoring, model governance, and documentation
Continuously assess model performance and incorporate stakeholder feedback to maintain reliability and flexibility as the Club evolves
Evaluate emerging methods and research to keep Sporting Kansas City current with data science best practices and trends
Develop advanced models for medical, sports sciences, scouting, coaching, and performance analysis workflows
Build advanced football metrics for player, team, league, and valuation models using multiple data sources
Develop advanced metrics using event, tracking, and physical data
Support predictive modelling for load monitoring and management, player availability, injury risk, and other key initiatives in collaboration with medical and physical performance staff
In alignment with wider Data and Analytics teams, support forecasting and scenario-analysis tools for squad and salary cap planning
Challenge existing data, systems, and practices to drive innovation
Work with the First Team Data Engineer to productionize models and implement ML projects seamlessly

Requirements

Bachelor's degree in computer science, data science, or a related STEM subject
Experience in a Data Science, Machine Learning, Applied Statistics, or similar role
Proven experience designing, validating, and monitoring applied machine learning models
Robust experience using SQL and Python for data analysis, modelling, and automation
Strong understanding of statistical modelling, experimental design, and model evaluation
Creative and curious problem solver with a positive attitude to new challenges
Proactive and able to learn new skills, working effectively as part of a team
Excellent attention to detail and evidence of developing strong analytical skills
Excellent communication skills, with ability to translate technical concepts into practical solutions

Technologies

SQL
Python
Tableau

Preferred Experience

Prior experience working within an elite soccer club or high-performance sporting environment
Experience working with soccer event, tracking, and physical performance datasets
Experience developing models for elite athlete recruitment, physical performance, squad planning, player availability, and load and fatigue management
Experience deploying machine learning models and working with cloud-based environments
Strong understanding of technical and tactical aspects of soccer
Evidence of experience working in the MLS
Experience using data visualization tools such as Tableau or equivalent software

Physical Requirements

Ability to work in office, stadium, and outdoor environments, with travel as required
Ability to occasionally lift up to 25 pounds
Ability to work non-traditional hours, including evenings, weekends, and holidays

Additional Responsibilities

Represent Sporting Kansas City professionally at all times
Maintain confidentiality of sensitive information
Comply with Club policies and procedures
Perform other duties as assigned

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7d ago

Data Analyst

Sporting Kansas City Kansas City, KS

Kansas City, KS

7d ago

Full time Analytics Data Analysis Data Analytics

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Job Description

Sporting Kansas City is hiring a Data Analyst in Kansas City, KS to turn performance data into clear insights and decision-support tools for the First Team.

Responsibilities

Provide data and analytical support across the Club to improve data understanding, adoption, and application
Partner with key soccer stakeholders to translate data into performance strategies
Build and maintain relationships with coaches, analysts, scouts, physical performance coaches, and other stakeholders
Present and discuss analytical findings clearly with multiple audiences, including coaches, technical staff, leadership, and ownership
Answer performance questions by translating data into simple, actionable recommendations
Support pre-match, post-match, and opposition profiling report creation and delivery
Deliver high-quality individual and team-level research projects focused on improving performance and supporting decision-making
Lead data visualization initiatives and help create and deliver multiple tools
Develop and maintain player, team, and league benchmarking frameworks for objective decision-making
Support recruitment and squad planning through benchmarking, profiling, and market analysis
Query, gather, and manipulate data from multiple sources
Work with event, tracking, and physical performance datasets to develop custom metrics
Build decision-support tools and reports for distribution across the Club
Ensure data best practices across the Club, aligning with the broader Club data strategy and supporting ongoing development of SKC’s reporting ecosystem
Represent Sporting Kansas City professionally at all times
Maintain confidentiality of sensitive information
Comply with Club policies and procedures
Perform other duties as assigned

Requirements

Bachelor’s degree in data science or a related STEM subject
Experience using SQL and Python and/or R for data management and analysis
Previous experience using Tableau or equivalent data visualization software
Previous experience working with data and delivering insights within a pro soccer club
Evidence of excellent communication skills, able to translate data into actionable insights
Creative, curious problem solver with a positive attitude toward new challenges
Proactive and eager to learn, able to pick up new skills and work as part of a team
Strong attention to detail and evidence of developing analytical skills

Technologies

SQL
Python
R
Tableau

Preferred Experience

Strong understanding of the technical and tactical aspects of soccer
Evidence of experience working in the MLS

Physical Requirements

Ability to work in office, stadium, and outdoor environments and to travel as required
Ability to occasionally lift up to 25 pounds
Ability to work non-traditional hours, including evenings, weekends, and holidays

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3mo ago

Title III Research & Data Analyst

Kansas City Kansas Community College Kansas City, KS

Kansas City, KS

3mo ago Closed

$56k - $77k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

At Kansas City Kansas Community College, the Title III Research & Data Analyst plays a pivotal role in strengthening Institutional Effectiveness and Enrollment Management by turning data into actionable insights. This onsite position collaborates with Title III leadership to deliver precise reporting, CFR-aligned performance data, and strategic analyses that inform planning across academic and administrative initiatives.

Key Details

Location: Kansas City, KS (onsite)
Salary: USD 55,778 - 76,693 per year
Education: Bachelor's degree
Experience: Minimum 3 years

Responsibilities

Collaborate with the Title III Project Director to maintain accurate, timely data submissions in line with federal Title III requirements.
Support Title III Annual Performance Reporting and ensure alignment with CFR standards.
Assist in collecting, analyzing, and communicating data related to grant outcomes and institutional priorities.
Extract, analyze, and validate institutional data to inform decision-making and reporting processes.
Conduct quantitative analyses focused on institutional effectiveness, student success, and key performance indicators.
Create summary reports and insights to support planning, policy discussions, and strategic initiatives.
Develop and maintain dashboards and reports to back enrollment management, institutional planning, and departmental operations.
Prepare and maintain reports used in academic and administrative program reviews.
Ensure data accuracy, consistency, and usability across reporting tools and outputs.
Manage the course evaluation process.
Design and administer internal surveys for institutional and Title III data collection.
Analyze survey results and provide actionable insights to campus stakeholders.
Respond to ad hoc data requests from faculty, staff, and administrators.
Collaborate on interdepartmental and cross-campus data projects.
Communicate findings clearly to both technical and non-technical audiences.
Perform other duties as assigned by the Executive Director of Institutional Effectiveness or Title III Project Director.

Requirements

Bachelor’s degree in statistics, analytics, mathematics, computer science, behavioral or social sciences, information technology, or a related field.
Three years of experience in data collection, conducting research studies, and analysis.
Demonstrated experience with large datasets or data warehouses.
Proficiency with data tools and systems such as databases, spreadsheets, SPSS, SQL, and business intelligence/reporting tools.

Technologies

SPSS, SQL, Tableau, Power BI
Colleague, Banner, Ellucian Insights
Microsoft Office 365, CRM systems

To Apply

Read the job announcement carefully, noting the initial screening date, minimum qualifications, and required information.
Recognize that information in your application materials will be used to determine qualification.
Submit all documents listed as required.
If a transcript is required, unofficial transcripts may be submitted initially; official transcripts are required upon selection for hire.
Ensure transcripts show the awarded degree if you claim it as your highest education completed.
Foreign degrees are acceptable if translated or shown to be equivalent to a U.S. degree at the appropriate level.
Attach documentation verifying degree completion or coursework electronically with your application.
Provide three professional references with phone numbers and email addresses.
A college selection committee will review applications, with final hiring decisions made by the hiring manager.
Successful background checks are required for recommended hires; pre-employment tests may be used.

Working Conditions

Regularly requires standing, talking, listening, walking, and sitting.
Occasional pushing or lifting of items may be required.

Work Schedule

40 hours per week, Monday through Friday, 8:00 AM – 4:30 PM. A variable schedule may be needed to meet operational needs, and evening or weekend hours may be required.

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Data Jobs in Kansas City, KS

Data Scientist

Data Analyst

Title III Research & Data Analyst

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