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Afternoon Data Analyst R Programming Jobs in Thornton, CO

Data Analyst

Greenwood Village, CO · Remote

$60 - $70/hr

Perform code reviews with other developers. * Collaborate with other members of the team. Experience Requirements: * 5-10 years of experience in data engineering or analytics. * Strong proficiency in ...

Data Analyst Client: CO CDE Location: 201 E Colfax Ave Denver, Colorado 80203-0000 (Remote ... IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ET ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Senior Data Analyst

Denver, CO · On-site

$100 - $125/hr

Pay Range: $78,100.00 - $128,500.00 The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted ...

Senior Data Analyst

Denver, CO · On-site

$78K - $128K/yr

Pay Range: $78,100.00 - $128,500.00 The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted ...

Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis. * Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira)

Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis. * Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira)

Senior Data Analyst

Denver, CO · On-site

$78K - $128K/yr

Pay Range: $78,100.00 - $128,500.00 Position Summary The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable ...

You will pull data from across the drilling, completions, production, and geoscience domains, reconcile it into something trustworthy, and turn it into analysis that geologists, engineers, and ...

Senior Strategic Sourcing Data Analyst

Denver, CO · On-site

$88K - $111K/yr

Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis. * Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira)

The role involves leading data analysis efforts, utilizing SQL and analytics tools to extract ... R or scripting) • Maintain strong task ownership -- Track and complete multiple requests (A/B/C ...

Senior Strategic Sourcing Data Analyst

Denver, CO · On-site

$88K - $111K/yr

Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis. * Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira)

Showing results 21-40

Afternoon Data Analyst R Programming information

See Thornton, CO salary details

$34.8K

$84.5K

$139.1K

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

As of Sep 8, 2026, the average yearly pay for afternoon data analyst r programming in Thornton, CO is $84,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,200.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 Thornton, CO?

For Afternoon Data Analyst R Programming jobs in Thornton, CO, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Thornton, CO look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Thornton, CO are:

What cities near Thornton, CO are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Thornton, CO with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Thornton, CO as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $84,500 per year, or $40.6 per hour.

Data Analyst and Engineer

Agelix Consulting

Lakewood, CO • On-site

Full-time

Re-posted 7 days ago


Job description

Senior Data Analyst and Engineer

Lakewood, CO

The contractor team will bring senior-level knowledge of data development and data systems engineering. A Data Analyst/Engineer, or Data Systems Engineer is responsible for developing and maintaining data processing software responsible for requirement capture, database development, data documentation, and development and maintenance of data processing pipelines. Documentation is a key consideration as is experience with coding (e.g., SQL, Python, PowerShell) and other tools for performing data migration (e.g., extract, transform, and load tools, ArcGIS Data Interoperability, SQL Server Integration Services, and other tools such as open source).

The Data Engineer must have 5 years’ experience with data analysis and engineering activities including data schema development and data migration activities.