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Afternoon Data Analyst R Programming Jobs in Thornton, CO

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, Power BI, or Looker all stars * Looking for a self-starter ...

Apex Systems

Data Analyst II

Denver, CO · On-site

Programming skills in Python or R for advanced analytics and automation. Experience with Microsoft Power Platform (Power Automate, Power Apps) for workflow automation. Experience with cloud data ...

Eliassen Group

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 ...

Airswift

Data Analyst II

Denver, CO · On-site

Key Responsibilities Data Analysis & Insights * Extract, analyze, and interpret complex datasets to ... Programming experience in Python and/or R. * Experience with Microsoft Power Platform (Power ...

nLeague

Data Analyst

Denver, CO · On-site

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 ...

Berkley

Data Analyst I

Englewood, CO · Hybrid

$65K - $75K/yr

R. Berkley Corporation (NYSE: WRB), we stand as a leading Excess and Surplus Lines provider ... analysts and decision makers. * 2+ years of experience in a data-related role with working ...

Berkley

Data Analyst I

Englewood, CO · Hybrid

$65K - $75K/yr

R. Berkley Corporation (NYSE: WRB), we stand as a leading Excess and Surplus Lines provider ... data from internal and external sources to provide insight to analysts and decision makers.

Berkley

Data Analyst I

Englewood, CO · On-site

$65K - $75K/yr

R. Berkley Corporation (NYSE: WRB), we stand as a leading Excess and Surplus Lines provider ... data from internal and external sources to provide insight to analysts and decision makers.

Husch Blackwell Llp

Enterprise Data Analyst

Denver, CO · On-site +1

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 ...

Husch Blackwell LLP

Enterprise Data Analyst

Denver, CO · On-site +1

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 ...

EchoStar

Payments Data Analyst

Englewood, CO · On-site

$63K - $90K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... The Payments Data Analyst addresses critical operational challenges by monitoring and optimizing ...

EchoStar Corporation

Payments Data Analyst

Englewood, CO · On-site

$63K - $90K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... The Payments Data Analyst addresses critical operational challenges by monitoring and optimizing ...

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Showing results 21-40

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.

Senior Data Analyst

NuView

Denver, CO • On-site, Remote

$90K - $120K/yr

Full-time

Re-posted 18 days ago

Job description

100% Remote Full-time Senior Analyst
At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of - humility, intellectual rigor, and stewardship - we help companies gain a new perspective on their business through their data.
Salary: $90k-120K + bonus + benefits
Location: 100% remote for US-based candidates
Responsibilities:
  • Candidate will complete data analytics and data science projects for clients
  • Candidate will be a key leader in researching and helping the company learn about new technologies/skillsets that are not currently possessed by the firm
  • Candidate will take Lead on client projects from start to finish - scoping, onboarding, delivering
  • Candidate will train and develop new team members in both engagement process and data analytics skill sets when needed

Projects Include:
  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development
  • Statistical modeling and machine learning

Qualifications:
  • Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 3-5 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, Power BI, or Looker all stars
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to Lead other team members as a player coach, completing projects side-by-side and teaching junior team members best practices and techniques
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)

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