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Afternoon Data Analyst R Programming Jobs in Colorado

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ...

Our business reach spans satellite television service, live-streaming and on-demand programming ... Experience with SQL, Python, R, Tableau, Databricks, AWS, Snowflake, and Excel required

Data Analyst

Englewood, CO ยท On-site

$63K - $90K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... Experience with SQL, Python, R, Tableau, Databricks, AWS, Snowflake, and Excel required

Data Analyst

Englewood, CO ยท On-site

$63K - $90K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google ...

Our business reach spans satellite television service, live-streaming and on-demand programming ... Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google ...

Data Analyst

Denver, CO ยท On-site +1

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ...

Data engineering or data analysis on Snowflake or Databricks platforms * Data analysis or statistical modeling using Python or R Visa sponsorship not available for this role Salary Ranges ...

Senior Data Analyst

Littleton, CO ยท On-site

$90K - $118K/yr

Advanced proficiency in querying complex datasets using SQL alongside statistical analysis capabilities in Python or R * Hands-on experience performing data engineering, transformation, and ...

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)

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 ...

... Engineering, or a related discipline. * Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices. * Proficiency in Python (or R) for data analysis ...

... Engineering, or a related discipline. * Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices. * Proficiency in Python (or R) for data analysis ...

... Engineering, or a related discipline. * Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices. * Proficiency in Python (or R) for data analysis ...

Our business reach spans satellite television service, live-streaming and on-demand programming ... Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google ...

Data Analyst II

Englewood, CO ยท On-site

$72K - $103K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google ...

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

Experience with Python (preferred) or R for data analysis (e.g., pandas, numpy) * Experience with data visualization tools such as Tableau or Streamlit * Advanced Excel and spreadsheet analysis ...

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Afternoon Data Analyst R Programming information

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 Colorado? The most popular types of Data Analyst R Programming jobs in Colorado are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Colorado look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Colorado are:
What cities in Colorado are hiring for Afternoon Data Analyst R Programming jobs? Cities in Colorado with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Colorado as of June 2026, with employment types broken down into 66% Full Time, 18% Part Time, 5% Temporary, and 11% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data Analyst

Full-time

Posted 3 days ago


Job description

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: $80k-100K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will work on client projects from start to finish - scoping, onboarding, delivering
  • Candidate will train and develop new skills 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

Qualifications:

  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 1-3 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • 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.)
Employment Type: FULL_TIME