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Afternoon Data Analyst R Programming Jobs in Denver, 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 ...

Artifact Uprising

Senior Data Analyst

Denver, CO

$80K - $100K/yr

Partner with product and engineering to define what data should be instrumented based on the ... Python or R for statistical modeling, simulation, or automation * Background in customer ...

Artifact Uprising

Senior Data Analyst

Denver, CO

$88K - $111K/yr

Partner with product and engineering to define what data should be instrumented based on the ... Python or R for statistical modeling, simulation, or automation * Background in customer ...

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$80K - $100K/yr

Partner with product and engineering to define what data should be instrumented based on the ... Python or R for statistical modeling, simulation, or automation * Background in customer ...

kgs

Data Analyst I

Denver, CO · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

Koniag, Inc.

Data Analyst I

Denver, CO · On-site

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

kgs

Data Analyst I

Denver, CO · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

Trilon Group

Lead Data Analyst

Denver, CO

You work closely with the VP of Data and Analytics to align analytics with business priorities, with Data Engineering to ensure data is structured for analysis, and with business and program ...

Sand Cherry Associates

Data Analyst

Denver, CO · On-site

$90K - $110K/yr

Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related field; Master's preferred. Compensation Sand Cherry Associates is required by Colorado law to ...

Sand Cherry Associates

Data Analyst

Denver, CO · On-site

$90K - $110K/yr

Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related field; Master's preferred. Compensation Sand Cherry Associates is required by Colorado law to ...

Sand Cherry Associates

Data Analyst

Denver, CO · On-site

$90K - $110K/yr

Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related field; Master's preferred. Compensation Sand Cherry Associates is required by Colorado law to ...

JLL

Senior Data Analyst

Boulder, CO

$89K - $112K/yr

... Science, Engineering, or other quantitative field 3+ years of professional experience in data analysis and data visualization * Proficient in SQL (any dialect), R and Python * Expertise with ...

Eliassen Group

Data Analyst

Greenwood Village, CO · On-site +1

$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 ...

Eliassen Group

Data Analyst

Greenwood Village, CO · On-site +1

$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 ...

Jones Lang LaSalle IP, Inc.

Senior Data Analyst

Boulder, CO · On-site

$89K - $112K/yr

... Engineering, or other quantitative field • 3+ years of professional experience in data analysis and data visualization * Proficient in SQL (any dialect), R and Python * Expertise with spreadsheet ...

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 ...

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

Afternoon Data Analyst R Programming information

See Denver, CO salary details

$35K

$85.1K

$140K

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

As of Jun 15, 2026, the average yearly pay for afternoon data analyst r programming in Denver, CO is $85,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $99,800.00 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 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 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 the most commonly searched types of Data Analyst R Programming jobs in Denver, CO? The most popular types of Data Analyst R Programming jobs in Denver, CO are:
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Afternoon Data Analyst R Programming jobs near you

Senior Data Analyst

NuView

Denver, CO • On-site, Remote

$90K - $120K/yr

Full-time

Posted 14 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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