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Afternoon Data Analyst R Programming Jobs in Littleton, CO

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 ...

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)

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.

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

Afternoon Data Analyst R Programming information

See Littleton, CO salary details

$34.1K

$82.8K

$136.2K

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 Littleton, CO is $82,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 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 the most commonly searched types of Data Analyst R Programming jobs in Littleton, CO?

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

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

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

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

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

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

Cities near Littleton, 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 Littleton, CO as of July 2026, with employment types broken down into 1% As Needed, 57% Full Time, 34% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $82,778 per year, or $39.8 per hour.

Senior Data Analyst

Bio-Techne

Denver, CO • On-site

$78K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Bio-Techne rating

8.4

Company rating: 8.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.

Pay Range:

$78,100.00 - $128,500.00

Job Description

The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted reporting, and actionable insights. This role combines analytics, business intelligence, and data engineering capabilities to support decision-making across Marketing, Customer Service, Commercial, and Business teams. The position is responsible for partnering with stakeholders to define KPIs, improve business processes, and drive measurable outcomes through data, then designing and maintaining those data pipelines, reporting frameworks, and analytics solutions. The ideal candidate has 5-8 years of professional experience conducting data analysis and reporting.

Key Responsibilities

  • Develop Advanced Analytics Solutions: Design and build dynamic, multi-layered reports and dashboards in Power BI, SQL-based data transformations, and reporting layers to provide deep insights into marketing, commercial, and business KPIs.

  • Strategic Data Analysis & Business Insights: Analyze large and complex datasets to identify trends, inefficiencies, and root causes of operational challenges. Translate findings into strategic recommendations that drive business improvements and cost reductions.

  • Data-Driven Decision Support: Collaborate closely with stakeholders in marketing, business partners, and commercial teams planning to align analytical efforts with business objectives. Provide actionable insights to executive leadership and decision-makers.

  • Data Engineering & Platform Optimization: Design, develop, and maintain scalable datasets, data models with SQL/Python, ETL/ELT processes, and enterprise reporting solutions. Support analytics platform modernization initiatives, including migration, implementation, optimization, and integration of enterprise data platforms.

  • Automation & Scalability: Develop and implement automated data pipelines and reporting solutions that reduce manual effort and improve data accuracy, consistency, and accessibility.

  • Stakeholder Communication & Business Partnership: Serve as a trusted advisor to business partners, defining requirements for business questions, effectively communicating complex data findings in a clear and actionable manner . Foster a data-driven culture across teams.

  • Continuous Improvement & Adaptability: Establish a feedback loop for refining analytics models, ensuring insights remain relevant to evolving business needs and industry trends.

  • Data Integrity & Governance: Troubleshoot data-related issues, ensuring high levels of accuracy, integrity, and consistency across all reports and analyses. Work proactively to enhance data quality and governance frameworks.

  • Predictive & Prescriptive Analytics: Utilize statistical modeling and forecasting techniques to drive proactive decision-making.

  • Project Leadership: Lead and manage high-impact analytics initiatives, ensuring timely delivery and alignment with organizational goals.

Qualifications & Skills

  • Bachelor's degree in a relevant field and5+ years of experience in data analytics, with a strong background in operations and supply chain.

  • SQL: 5+ years experience

  • Python: 3+ years experience

  • Power BI/Tableau: 5+ years experience

  • Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting.

  • Strong experience with data modeling, ETL/ELT processes, data pipelines, system integrations, and cloud-based analytics platforms.

  • Strong understanding of financial and marketing metrics and how they influence business performance.

  • Experience with predictive modeling, regression analysis, and correlation techniques.

  • Ability to distinguish signal from noise in complex datasets, providing clear insights for leadership.

  • Proven track record of developing scalable, long-term analytical solutions.

  • Strong project management skills with the ability to lead and execute initiatives.

  • Excellent communication and storytelling skills, with the ability to present complex data in a clear and compelling manner.

  • Experience working with Databricks is a plus.

  • If you are a data-driven problem solver with a passion for analytics and business transformation, we encourage you to apply and make an impact at Bio-Techne!


Why Join Bio-Techne:

  • We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
  • We invest in our employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
  • We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
  • We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
  • We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.
  • We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

Bio-Techne is an E-Verify Employer in the United States.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.


This position requires work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status). If you require a reasonable accommodation to complete an application, participate in an interview, or take part in any other stage of the recruitment process, please contact hr@bio-techne.com for assistance.

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