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Afternoon Data Analyst R Programming Jobs in Missouri

AEG

Data Analyst

Riverside, MO · On-site

This role requires strong programming and systems-building expertise, including the ability to ... R, APIs, and visualization platforms. * Create customized reporting solutions that streamline ...

The Timberline Group

Data Analyst

Saint Louis, MO · On-site

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

The Timberline Group

Data Analyst

Saint Louis, MO

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

Centurion

Data Analyst (76789)

Jefferson City, MO · On-site

The Data Analyst is responsible for supporting operational and clinical contract requirements via ... R, and/or Python experience * 3 + years BI Software experience (Tableau, Power BI, Qlik, etc.) We ...

Koniag, Inc.

Data Analyst I

Kansas City, MO · On-site

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

kgs

Data Analyst I

Kansas City, MO · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

kgs

Data Analyst I

Kansas City, MO · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

Guarantee Electrical

Data Analyst I

Saint Louis, MO · On-site

You'll report directly to our Director of Data Engineering and Advanced Analytics and play a hands-on role in shaping how a leading electrical contractor turns data into a competitive advantage. WHAT ...

Guarantee Electrical

Data Analyst I

Saint Louis, MO · On-site

You'll report directly to our Director of Data Engineering and Advanced Analytics and play a hands-on role in shaping how a leading electrical contractor turns data into a competitive advantage. WHAT ...

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

Bring energy, effort, and optimism every day Skills & Qualifications * ntermediate SQL & Python/R ... Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

EquipmentShare

Senior Data Analyst

Columbia, MO · On-site

$81K - $103K/yr

Bring energy, effort, and optimism every day Skills & Qualifications * ntermediate SQL & Python/R ... Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

Bring energy, effort, and optimism every day Skills & Qualifications * ntermediate SQL & Python/R ... Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

Catawiki

In this role, no two days will be the same: you will build ad hoc analyses, design and analyse ... You're eager to learn tools and languages such as Python or R, and gain experience with data ...

EquipmentShare

Financial Data Analyst

Kansas City, MO · On-site

We're hiring a Financial Data Analyst to support our Corporate HQ in Kansas City, MO , and we're ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred A Workplace For All ...

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Afternoon Data Analyst R Programming information

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Missouri? The most popular types of Data Analyst R Programming jobs in Missouri are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Missouri? For Afternoon Data Analyst R Programming jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Missouri look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Missouri are:
What cities in Missouri are hiring for Afternoon Data Analyst R Programming jobs? Cities in Missouri with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Data Analyst

AEG

Riverside, MO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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

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