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Afternoon Data Analyst R Programming Jobs in Thornton, CO

InterSources Inc

Lead Data Insight Analyst

Denver, CO · On-site

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 ...

Eliassen Group

Product/Data Analyst

Greenwood Village, CO · Remote

$50 - $60/hr

The analyst will drive clarity in ambiguous domains, surface hidden needs, and guide stakeholders ... Partner with engineering, data, and product teams to ensure accurate data collection and reporting.

Eliassen Group

Product/Data Analyst

Greenwood Village, CO · On-site

$50 - $60/hr

The analyst will drive clarity in ambiguous domains, surface hidden needs, and guide stakeholders ... Partner with engineering, data, and product teams to ensure accurate data collection and reporting.

Modivcare, Inc.

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

Strong knowledge of Excel and statistical analysis tools such as Python, R, or SAS. * Familiarity with ETL processes and cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, Azure). * Soft ...

Prim

SCADA Data & Reporting Analyst

Denver, CO · Remote

Collaborate with Operations, Engineering, IT, Asset Management, Compliance, and vendors. Required Qualifications * Bachelor's degree in Data Analytics, Computer Science, Engineering, Information ...

Pwc

Data Strategy-Manager

Denver, CO · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

DJ&A

Transportation and Visitor Use Analyst

Golden, CO · On-site

$75K - $95K/yr

Aptitude for and/or experience in quantitative data collection, analysis, and modeling. * Aptitude for and/or proficiency in script-based statistical programming and analysis (R preferred). * Desire ...

Cymertek

Data Scientist / Software Engineer

Aurora, CO · On-site

Data Scientist / Software Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please ... Document and present analytical results effectively REQUIRED SKILLS * Proficiency in Python or R

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Thornton, CO

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 Aug 18, 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:

Afternoon Data Analyst R Programming jobs near you
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.

Lead Data Insight Analyst

InterSources Inc

Denver, CO • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
InterSources Inc is seeking a Lead Data Insight Analyst with 8-12 years of experience. The role involves leading data analysis efforts, utilizing SQL and analytics tools to extract insights, and collaborating with stakeholders to communicate findings effectively.
Responsibilities:
• Lead data analysis efforts — Use SQL and analytics tools to extract insights, support reporting, and respond quickly to business requests.
• Work with AI tools and prompting to enhance productivity and support analysis workflows; comfortable learning and applying LLM capabilities.
• Ensure rapid turnaround on deliverables — Execute assignments efficiently and maintain strong attention to detail across tasks.
• Collaborate with stakeholders — Participate actively in meetings, quickly understand asks, and communicate findings clearly.
• Support Python-based workflows — Basic understanding of Python or other object-oriented languages to navigate internal tools.
• Maintain strong task ownership — Track and complete multiple requests (A/B/C mindset) with minimal oversight.
• Nice to have: Experience across multiple data environments or fast-moving analytics teams.
Qualifications:
Required:
• 8-12 year exp
• Lead data analysis efforts — Use SQL and analytics tools to extract insights, support reporting, and respond quickly to business requests. (Primary: SQL, data analysis | Tools: SQL platforms, BI tools)
• Work with AI tools and prompting to enhance productivity and support analysis workflows; comfortable learning and applying LLM capabilities. (Primary: AI familiarity, prompting | Secondary: Automation)
• Ensure rapid turnaround on deliverables — Execute assignments efficiently and maintain strong attention to detail across tasks. (Primary: Execution, accountability)
• Collaborate with stakeholders — Participate actively in meetings, quickly understand asks, and communicate findings clearly. (Primary: Communication)
• Support Python-based workflows — Basic understanding of Python or other object-oriented languages to navigate internal tools. (Primary: Python basics | Secondary: R or scripting)
• Maintain strong task ownership — Track and complete multiple requests (A/B/C mindset) with minimal oversight.
Preferred:
• Experience across multiple data environments or fast-moving analytics teams
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

Social media

Twitter

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