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Afternoon Data Analyst R Programming Jobs in Westminster, CO

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 ...

Crusoe

Strategic Sourcing Data Analyst

Denver, CO · On-site

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)

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 ...

Bio-Techne Corp.

Senior Data Analyst

Denver, CO · On-site

$78 - $129/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 ...

Bio-Techne

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 ...

Crusoe

Strategic Sourcing Data Analyst

Denver, CO · On-site

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)

Crusoe

Strategic Sourcing Data Analyst

Denver, CO · On-site

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)

Petro-Hunt L.L.C

Upstream Data Analyst

Denver, CO · On-site

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 ...

New

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 ...

Crusoe

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)

Crusoe

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)

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

Afternoon Data Analyst R Programming information

See Westminster, CO salary details

$34.3K

$83.4K

$137.3K

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

As of Sep 5, 2026, the average yearly pay for afternoon data analyst r programming in Westminster, CO is $83,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 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 the most commonly searched types of Data Analyst R Programming jobs in Westminster, CO?

The most popular types of Data Analyst R Programming jobs in Westminster, CO are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Westminster, CO?

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

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

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

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

Cities near Westminster, 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 Westminster, CO as of July 2026, with employment types broken down into 1% As Needed, 58% Full Time, 32% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $83,399 per year, or $40.1 per hour.

Data Analyst

nLeague

Denver, CO • On-site

Contractor

Re-posted 14 days ago

Job description

Job ID:  65397

Position:  Data Analyst

Client: CO CDE

Location: 201 E Colfax Ave   Denver,  Colorado    80203-0000 (Remote)

Duration: 6+ Months

Role Summary 

  • IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ETL workflows from Informatica PowerCenter to Informatica Intelligent Data Management Cloud (IDMC). 
  • This role is hands-on and execution-focused, providing development, administration, and database support during migration and stabilization efforts.  
  • The contractor will primarily focus on ETL Asset/ Workflow migration. The contractor will may also assist with Oracle database and stored-procedure–based systems, including components supporting Accountability Frameworks. 
  • This position works under the direction of IMS technical leads and does not include platform ownership, architecture authority, or people management. 

Key Responsibilities 

  • Informatica IDMC Migration 
  • Support migration of ETL workflows from PowerCenter to IDMC. 
  • Analyze existing mappings and workflows to support rebuild or refactor in IDMC. 
  • Assist with testing, validation, and troubleshooting of migrated workflows. 
  • Support cutover and post-migration stabilization activities. 
  • Informatica Administration (Execution-Level) 
  • Support IDMC environment configuration and operations. 
  • Perform system configuration activities to support hybrid legacy configuration. 
  • Assist with job scheduling, monitoring, and error resolution. 
  • Follow established operational procedures and escalation paths. 
  • Database & Stored Procedure Support 
  • Support Oracle databases used by ETL and reporting systems. 
  • Assist with analysis and troubleshooting of SQL and stored procedures. 
  • Validate data transformations and outputs, particularly for Accountability Frameworks. 
  • Documentation & Knowledge Transfer 
  • Contribute to migration and configuration documentation. 
  • Document changes made during migration to support operational continuity. 
  • Participate in knowledge transfer to IMS staff as requested. 

Required Skills & Experience 

  • 4–7 years of hands-on Informatica ETL experience. 
  • Experience with Informatica IDMC / Informatica Cloud or PowerCenter with migration exposure. 
  • Experience supporting or administering Informatica environments. 
  • Strong SQL skills with Oracle databases. 
  • Experience working with stored procedures and database-driven logic. 
  • Experience supporting ETL testing, validation, and issue resolution. 
  • Experience with Linux based operating systems and command line interface. 

Preferred Skills 

  • Prior PowerCenter → IDMC migration experience. 
  • Familiarity with cloud or hybrid execution environments. 
  • Experience or familiarity with Linux system administration activities. 
  • Experience supporting regulated or audit-sensitive data systems.  

Engagement Objective 

  • Provide targeted ETL and database expertise to: 
  • Accelerate PowerCenter to IDMC migration 
  • Reduce load on permanent IMS staff 
  • Support Oracle/stored-procedure–based Accountability Frameworks during transition