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Afternoon Data Analyst R Programming Jobs in Lawrence, KS

Data Engineer - Healthcare

Topeka, KS · Remote

$107.80K - $129.40K/yr

Assess complex data sets and conduct root cause analysis. * Experience using data to improve ... Engineering, or related field. * Experience working with healthcare data from diverse EHRs, and an ...

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Promote secure development practices and provide guidance to developers on secure coding. * Work ... Utilize forensic tools for data collection and incident response. * Participate in on-call rotation.

Promote secure development practices and provide guidance to developers on secure coding. * Work ... Utilize forensic tools for data collection and incident response. * Participate in on-call rotation.

Security Analyst III

Olathe, KS · On-site

$51.62 - $77.43/hr

Promote secure development practices and provide guidance to developers on secure coding. * Work ... Utilize forensic tools for data collection and incident response. * Participate in on-call rotation.

Senior Data/AI Engineer

Topeka, KS · Remote

$99.80K - $135.50K/yr

Specialty Networks' PPS Analytics platform analyzes data from electronic medical records (EMR ... Job Summary The Senior Data/AI Engineer is a senior individual contributor on the Data & AI ...

Sr. Data Engineer

Topeka, KS · On-site

$150K - $190K/yr

The Senior Data Engineer will be responsible for the analysis, design, and development of solutions focused on data engineering and ETL workflows. As a Sr. Software Engineer - Data, you will work ...

Data & AI Engineer

Lawrence, KS

$104.50K - $125.50K/yr

Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations. * Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and ...

Data & AI Engineer

Kansas City, KS

$104.50K - $125.50K/yr

Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations. * Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and ...

Data & AI Engineer

Lawrence, KS · On-site

$108K - $129.70K/yr

Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations. * Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and ...

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Afternoon Data Analyst R Programming information

See Lawrence, KS salary details

$32.1K

$77.9K

$128.3K

How much do afternoon data analyst r programming jobs pay per year?

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Lawrence, KS is $77,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $91,500.00 per year, depending on experience, location, and employer.

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 Lawrence, KS? For Afternoon Data Analyst R Programming jobs in Lawrence, KS, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Lawrence, KS look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Lawrence, KS are:
What cities near Lawrence, KS are hiring for Afternoon Data Analyst R Programming jobs? Cities near Lawrence, KS with the most Afternoon Data Analyst R Programming job openings:
Data Engineer-Kiewit Nuclear Solutions 1

Data Engineer-Kiewit Nuclear Solutions 1

Kiewit Corporation

Lenexa, KS • Remote

$107.50K - $129.10K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


Kiewit Corporation rating

8.1

Company rating: 8.1 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

14th of 77 rated construction


Job description

Requisition ID: 180211

Job Level: Mid Level

Home District/Group: Kiewit Nuclear Solutions

Department: Technology Group

Market: Nuclear

Employment Type: Full Time

Position Overview

Kiewit is seeking a Power BI Developer to architect, design, and deliver enterprise-grade analytics solutions supporting complex EPC projects across the organization. This is a technical role that involves building strong relationships with project and discipline leads and deploying complex data strategies activities across Kiewit’s business functions. This role operates within the Digital Project Execution (DPE) team and will collaborate closely with data engineers, solution architects, project leadership, and technology teams to deliver production-grade BI solutions that drive operational decisions on major construction programs.

District Overview

This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions.

Location

This is a remote position that may require some travel.

#LI

Responsibilities

Power BI Development

  • Develop interactive dashboards for project and field use

  • Implement row-level security (RLS), object-level security (OLS), and governance standards

  • Deploy and manage solutions within Power BI capacities

  • Configure and optimize data gateways

  • Manage workspaces, deployment pipelines, and versioning strategies

  • Design and develop scalable Power BI datasets using modeling best practices

  • Build optimized semantic models supporting enterprise-scale reporting

  • Implement incremental refresh, aggregation tables, composite models, and DirectQuery/Import hybrid architectures

  • Engineer high-performance DAX measures for complex business logic

  • Troubleshoot and refactor poorly performing models

  • Contribute to enterprise data standards and BI best practices

Data Integration and Engineering Collaboration

  • Work with data engineers to define optimized data contracts

  • Analyze and troubleshoot end-to-end data pipelines

  • Contribute to ELT design patterns across:

  • Azure Data Lake (ADLS Gen2)

  • Azure Databricks (Spark / PySpark / Spark SQL)

  • Azure Data Factory

  • SQL Server / Azure SQL

  • Ensure datasets are structured for performance, scalability, and reusability

Qualifications

Technology stack

Primary:

  • Power BI

  • Power BI Premium / Embedded

  • Azure Databricks (PySpark, Spark SQL)

  • Azure Data Lake

  • Azure Data Factory

  • SQL Server

  • Snowflake

Supporting:

  • Python

  • Git (source control)

  • CI/CD deployment pipelines

  • Data modeling and warehousing frameworks

Required SKILLS AND ABILITIES

  • Strong PowerBi experience is required including PowerBI Premium or Embedded

  • Programming: Expert level SQL, PL/SQL, Experienced Python skills (with a strong track record of optimizing complex Power BI models for performance and scalability)

  • Proficient in writing advanced / complex SQL, expertise in optimization of SQL queries preferred.

  • Familiarity with the EPC industry required (Engineering or Construction)

  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.

  • Proven ability to understand complex business rules and processes and then build integration processes and database views to represent those rules and processes.

  • Preferred experience in secondary tools such as Azure Databricks, Visual studio, Azure Data Factory, etc.

  • Excellent written and strong oral communication skills.

  • Understanding of ETL fundamentals and solutions.

  • Should be proficient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.

  • Experience in Python/Pyspark and Spark SQL (primary languages used in our solutions).

  • Experience in troubleshooting data issues and analyzing end to end data pipelines.

  • Strong experience developing data analytics and visualizations with transformation and aggregation from multiple formats for analyzing and uncovering insights / intelligence for project teams.

  • Familiar with source control and version control systems

  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.

  • Proven ability to understand complex business rules and processes.

  • Experience with creation of technical documentation for Functional Requirements, Scope documents, Technical Design, and Business Process Modeling etc.

Industry Specific Experience:

  • 8+ years of experience in BI / data analytics

Other Requirements:

• Regular, reliable attendance

• Work productively and meet deadlines timely

• Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment

• Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.

• Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.

FIELD ROLES ONLY May work at various different locations and conditions may vary

Base Compensation: $136,000/yr - $142,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

We offer our fulltime staff employees a comprehensive benefits package that’s among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

Company: Kiewit


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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884