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Data Analyst Computer Science Jobs in Missouri (NOW HIRING)

Bachelor's degree in Data Science, Computer Science, Statistics, Sports Analytics, Mathematics, Exercise Science, or related field. * Strong soccer IQ and advanced understanding of tactical ...

Enterprise Data Analyst

Columbia, MO ยท On-site

$69K - $86K/yr

Bachelor's or Master's degree in data science, statistics, mathematics, computer science, or a related field is preferred. * Proven experience (2+ years) as a Data Analyst, with a focus on data ...

Analyze large datasets to generate insights and identify patterns, working under guidance from ... Bachelor's degree in statistics, computer science, mathematics, or relevant field and * Experience ...

Analyze large datasets to generate insights and identify patterns, working under guidance from ... Bachelor's degree in statistics, computer science, mathematics, or relevant field and * Experience ...

Data Analyst Senior

Kansas City, MO ยท On-site +1

$83K - $105K/yr

Experience Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred. Education Bachelor's degree is ...

Data Analyst Senior

Saint Louis, MO ยท On-site +1

$83K - $105K/yr

Experience Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred. Education Bachelor's degree is ...

Data Analyst

Fenton, MO ยท On-site

Bachelor's degree in Computer Science, Computer Information Systems, Management Information Systems, or related field Experience * Requires 5 or more years of experience in data analysis, problem ...

Bachelor's degree in a quantitative field (Business Analytics, Statistics, Computer Science, Economics, or related field) preferred. * 3+ years of experience in a data analysis role. * Strong ...

Bachelor's degree in a quantitative field (Business Analytics, Statistics, Computer Science, Economics, or related field) preferred. * 3+ years of experience in a data analysis role. * Strong ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

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Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What cities in Missouri are hiring for Data Analyst Computer Science jobs? Cities in Missouri with the most Data Analyst Computer Science job openings:

Data Analyst

AEG

Riverside, MO โ€ข On-site

Full-time

Posted 17 days ago


Job description

Join the Team.
At KC Current, everything we do is in service of our fans, partners, community, and players. Our employees are stewards of that responsibility, working together to elevate the game and deepen our connection to Kansas City and beyond. With a best-in-class training facility and one of the first stadiums built specifically for a women's sports team, KC Current is writing the next chapter with world-class talent and ambition.
Our employees are a team of competitive, passionate, and driven people who are dedicated to this sport, this team, and this community. We aim high, embrace challenges, and take action to get it done. We believe great things happen when we are united. We are seeking individuals who want to march on this mission with us as the world's eyes are watching. We are making history in Kansas City and desire like-minded, high energy, driven individuals to join us on our journey.
Who are we hiring?
The Kansas City Current is seeking a highly motivated and soccer-intelligent Data Analyst to support the club's technical, performance, and sporting operations departments. This role will play a key part in transforming data into actionable football insights that directly influence match preparation, player development, recruitment, performance optimization, and decision-making across the organization.
The ideal candidate combines a deep understanding of the game with advanced technical and analytical capabilities. This individual must be comfortable operating in a fast-paced elite sporting environment, collaborating daily with coaches, analysts, performance staff, and front office leadership.
This role requires strong programming and systems-building expertise, including the ability to design and maintain scalable data infrastructure, automate workflows, and develop customized tools that support the technical staff's day-to-day football operations.
What will you do?
Football Intelligence & Technical Support
  1. Deliver actionable insights to coaching and technical staff through pre-match, post-match, and opposition analysis.
  2. Support match preparation by analyzing tactical trends, player tendencies, team style profiles, and game model adherence.
  3. Assist in player recruitment and talent identification through data-driven evaluation and benchmarking.
  4. Develop individualized player performance reports and long-term development tracking systems.
  5. Translate complex football data into clear and practical recommendations for coaches and staff.
  6. Ensure all analytical outputs align with the club's football philosophy and playing principles.

Data Infrastructure & Systems Development
  1. Build and maintain scalable data systems and infrastructure to support sporting operations.
  2. Develop automated pipelines and workflows integrating tracking, event, video, wellness, medical, and performance data.
  3. Design and maintain internal tools, dashboards, and applications for technical staff using Python, SQL, R, APIs, and visualization platforms.
  4. Create customized reporting solutions that streamline analysis workflows and improve decision-making efficiency.
  5. Support integration and management of third-party football data providers and platforms.

Performance & Player Analysis
  1. Collaborate with sports science and medical staff to analyze workload, readiness, and performance trends.
  2. Support player monitoring initiatives through GPS, biometric, wellness, and match-load data analysis.
  3. Assist with predictive modeling and injury-risk monitoring initiatives.
  4. Develop visualizations and dashboards to support player development plans and return-to-play processes.

Innovation & Research
  1. Stay current on emerging trends in football analytics, machine learning, artificial intelligence, and data engineering.
  2. Explore innovative analytical methods to improve tactical understanding, player evaluation, and performance forecasting.
  3. Contribute to the club's long-term analytics strategy and competitive advantage initiatives.

Collaboration & Culture
  1. Operate effectively within a collaborative, high-performance team environment.
  2. Work closely with coaches, analysts, recruitment staff, sports science, and leadership across all departments.
  3. Maintain flexibility and responsiveness within the demands of an elite sports environment, including evenings, weekends, travel, and matchdays.
  4. Foster a growth mindset, strong communication, and a team-first mentality.

What do you need to succeed?
Required
  • Bachelor's degree in Data Science, Computer Science, Statistics, Sports Analytics, Mathematics, Exercise Science, or related field.
  • Strong soccer IQ and advanced understanding of tactical, technical, and positional concepts within elite football.
  • Experience working within professional, collegiate, academy, or elite sporting environments.
  • Advanced proficiency in Python and SQL.
  • Experience building automated data workflows, pipelines, and reporting systems.
  • Experience with data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
  • Familiarity with football data providers and analysis platforms such as StatsBomb, Hudl, Wyscout, SkillCorner, Sportscode, or similar tools.
  • Strong communication skills with the ability to explain complex information to technical and non-technical audiences.
  • Ability to manage multiple projects in a fast-paced environment.

Preferred
  • Master's degree in a related field.
  • Experience with machine learning, predictive analytics, or artificial intelligence applications in sport.
  • Experience integrating video, tracking, and event data.
  • Knowledge of cloud infrastructure, APIs, and database architecture.
  • Experience developing custom applications or internal tools for coaches and analysts.
  • Background in performance analysis, recruitment analysis, or sports science.

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 monitor company communications and respond to time-sensitive matters with senior executives.
  • Must be able to stand, walk, and move around the venue for extended periods of time, often during events or facility setup and breakdown.
  • Ability to lift and carry up to 50 pounds as needed for event setup, equipment management, or assisting with operational needs.
  • Requires occasional bending, squatting, and reaching overhead to handle various tasks related to facility management, equipment, and event preparation.
  • Must be capable of working in physically demanding environments, including navigating stairs, ramps, and elevated platforms during venue conversions.
  • Ability to work outdoors continuously for extended periods of time in all weather conditions

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.
Job Questions:
  1. Do you have authorization to work in the US?
  2. Can you work nights and weekends as required?
  3. What are your salary expectations?

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992