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Afternoon Data Analyst R Programming Jobs in Kansas

Artech

Business Systems / Data Analyst

Kansas City, KS · On-site

Business Systems / Data Analyst Position Locations: Preference for Pittsburgh, PA, 15222. Secondary ... Full Stack (Devs, Scrum Master, Software Engineers, POs). Roles and Responsibilities: 1. Gather ...

Newell Brands

Working cross-functionally with Operations, Engineering, IT, Automation, and Global teams, the PEAK Analyst translates data into actionable insights, leads productivity initiatives, and builds site ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

R Scripting * IM/GIS Applications (i.e. ArcGIS, QGIS, Asset management software) * Intermediate ... SQL Database Management and analysis * Fortran Programming * Graphical Processing Unit (GPU ...

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Afternoon Data Analyst R Programming information

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Kansas? For Afternoon Data Analyst R Programming jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Kansas look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Kansas are:
What cities in Kansas are hiring for Afternoon Data Analyst R Programming jobs? Cities in Kansas with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Data DevOps Analyst

Data DevOps Analyst

Children's Hospital Association

Lenexa, KS • Hybrid

$82K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Data DevOps Analyst
Hybrid in Lenexa, Kansas
Join us in shaping a healthier future for kids. At Children’s Hospital Association, we unite more than 200 member hospitals to put children first—advancing care, informing policy, and driving progress together.
Where You’ll Work
This position is based in our Lenexa, KS office. We leverage a hybrid working model working three days in the office, two days optional remote work.
What You’ll Do
The Data DevOps Analyst is responsible for the support, maintenance, development, and deployment of CHA’s data pipeline and data visualization platforms and related applications. This role oversees release management activities, including upgrades, installations, configuration, and administration across data and analytics environments and their interfacing systems. Additionally, the DevOps Engineer designs, builds, and maintains data pipelines and ETL workflows to support reliable, scalable, and secure analytics solutions.
  • Administer Tableau environments across multiple sites, ensuring security standards, access controls, permissions, and configurations are consistently applied.
  • Oversee production change control processes for all data‑related applications.
  • Proactively monitor system health and performance, investigate and resolve failures, identify trends, and tune systems to prevent potential issues.
  • Manage and maintain external data source integrations with Tableau to ensure reliable data refresh and connectivity.
  • Provide administrative and technical support for legacy environments, including upgrades, patching, configuration, and security administration.
  • Respond to and resolve customer support tickets, coordinating with stakeholders to ensure timely issue resolution.
  • Design and develop data ingestion and ETL pipelines, automating processes to improve reliability and operational efficiency.
  • Monitor scheduled ETL workflows; proactively diagnose and resolve complex failures, performance issues, and data inconsistencies
  • Compile, validate, and organize data sets to support business reporting requests and project requirements.
  • Participate in peer reviews, unit testing, data validation, and troubleshooting to ensure accuracy, performance, and reliability of data pipelines.
What You’ll Bring to CHA
Any combination of education and experience providing the required skill and knowledge is qualifying:
  • Bachelor’s degree in computer science, or STEM related field is preferred, or an equivalent combination of education, training, and experience.
  • Minimum of three years of experience in data management and/or system engineering.
  • Solid understanding of software development principles and coding best practices.
  • Strong working knowledge of SQL and relational database management systems.
  • Hands‑on experience with Windows‑based server installation and administration, including a solid understanding of Windows Server operating systems, security concepts, and computer networking.
  • Experience with cloud computing platforms.
  • Experience working within SDLC and DevOps practices, including use of code repositories.
  • Strong interpersonal, communication, and problem‑solving skills in. a team‑based development environment.
Preferred Experience:
  • Exposure to data visualization tools.
  • Experience working with healthcare data.
  • Experience working with Microsoft Azure and Azure Data Factory.
Our Perks and Benefits:
  • Competitive total compensation package
  • Medical, dental and vision insurance
  • Retirement Savings program with generous company contribution
  • Hybrid working model
  • Health Savings Account with company contribution
  • Wellness program
  • Paid time off and personal days
  • 9 paid holidays
  • Paid Parental Leave
  • And more!
More About CHA
This pay range shown is a guideline. Min: $82,000 Max: $140,000 Compensation is based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 
Diversity, Equity and Inclusion
CHA is committed to advancing diversity, equity and inclusion within our organization, our membership, the care delivery of children’s hospitals and their communities and through the federal policymaking environment. With children’s hospitals we strive to ensure organizational cultures where everyone feels valued and actively participates in the mission of our organizations. Racism stands firmly in the way of improving children’s health. We remain vigilant in our quest for a diverse and inclusive community and in standing against racism and discrimination wherever it exists.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, and protected veteran status, or disability status.
Visa sponsorship is not available for this position.

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