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Afternoon Data Analyst R Programming Jobs in Colorado

StepStone Group

Data Analyst II

Denver, CO · On-site

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 ...

Cliftonlarsonallen

Data Analyst Senior

Denver, CO · On-site +1

$88K - $111K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

CliftonLarsonAllen

Data Analyst Senior

Denver, CO · On-site

$88K - $111K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

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 · 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 ...

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$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 ...

Samprasoft

Data And Reporting Analyst

Englewood, CO · On-site

Perform testing of WIFI devices (Charter Engineers to train) to establish intimate understanding of data and opportunities to improve data formatting/analysis. Create action plans and execute on ...

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 ...

InnovAge

Revenue Operations Data Analyst

Denver, CO

Partner with BI and engineering teams to define and improve upstream data pipelines and data ... Analyze performance across the PACE funnel (Lead Intake HSD Enrollment Start of Care) * Perform ...

InnovAge

Revenue Operations Data Analyst

Denver, CO

$103K - $165K/yr

Partner with BI and engineering teams to define and improve upstream data pipelines and data ... Analyze performance across the PACE funnel (Lead → Intake → HSD → Enrollment → Start of ...

InnovAge

Revenue Operations Data Analyst

Denver, CO · On-site +1

$103K - $130K/yr

Partner with BI and engineering teams to define and improve upstream data pipelines and data ... Analyze performance across the PACE funnel (Lead → Intake → HSD → Enrollment → Start of ...

CU Medicine

Epic Clarity Data Analyst

Aurora, CO · On-site

$90K - $100K/yr

Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect ...

cumed

Epic Clarity Data Analyst

Boulder, CO · On-site +1

Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect ...

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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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Colorado? For Afternoon Data Analyst R Programming jobs in Colorado, the most frequently searched job titles 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:
Afternoon Data Analyst R Programming jobs near you
Data Analyst II

Data Analyst II

StepStone Group

Denver, CO • On-site

Full-time

Posted 7 days ago

Job description

Company Description
Appcast is the global leader in programmatic recruitment advertising technology and services. With advanced technology, unmatched market data and a team of the industry's best recruitment marketers, Appcast's technology and services manage job advertising annually for enterprise clients across industries. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe. Appcast is part of the Stepstone group, a leading digital recruitment platform that connects companies with the right talent and helps people find the right job.
Job Description
The Data Analyst II on the Appcast Data & Insights Team works at the convergence of data, recruiting strategy, and product insights. This role focuses on turning complex recruitment marketing data into clear, actionable recommendations and compelling narratives. Data Analyst II operates with a high degree of independence and is responsible for delivering analyses, dashboards, and client-facing insights end-to-end.
Data Analyst II supports Account Managers, Product teams, and internal stakeholders to understand performance trends, identify key drivers, and communicate data into meaningful customer context that supports client strategy. This includes not only reporting on what is happening but also helping explain why it matters and how it informs strategic decisions. They also lead or own components of client business reviews, build dashboards and reporting tools, and translate labor market and performance data into clear narrative-driven insights. This role requires strong analytical skills, comfort working with large datasets, and the ability to communicate complex findings clearly to both technical and non-technical audiences.
Job Responsibilities
  • Analyze Performance Data and Identify Insights: Work with large and complex datasets to identify trends, performance gaps, and opportunities for optimization. Apply independent judgement to interpret findings and deliver actionable insights that support client strategies and internal decision-making.
  • Create Client-Facing Insights and Business Reviews: Lead the development of analyses and visualizations for client presentations (e.g., QBRs, custom reports). Craft clear, compelling narratives that connect data to business outcomes, helping clients understand performance trends, labor market dynamics, and strategic opportunities.
  • Build and Maintain Dashboards and Reporting: Design, build, and own dashboards and automated reporting tools using platforms such as Tableau or Streamlit. Ensure reporting is accurate, scalable, and aligned to support decision-making.
  • Collaborate Across Teams: Partner closely with Account Management and Product teams to translate data into clear, actionable insights. Provide analytical direction and input into product initiatives, internal tools, and cross-team projects.
  • Improve Analytics and Reporting Processes: Proactively identify and implement improvements to enhance data workflows, reporting efficiency, and automation. Contribute to advancing the team's analytical capabilities using tools such as SQL, Python, or R.
  • Manage Analytical Projects and Documentation: Track projects and maintain documentation using systems such as Salesforce, JIRA, GitHub, and Confluence to ensure transparency and reproducibility. Independently manage moderately ambiguous analytical requests from intake through delivery, applying structured problem-solving and sound judgment to deliver clear, reliable outputs.

Qualifications
  • Strong analytical foundation in statistics, economics, data science, or a related quantitative field
  • Proficiency in SQL and experience working with relational databases
  • 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 skills
  • Demonstrated ability to exercise independent judgment in analyzing data and making recommendations
  • Ability to manage multiple projects, prioritize effectively, and work independently in a fast-paced environment
  • Ability to independently scope, executive, and deliver analytical work with minimal guidance
  • Strong written and verbal communication skills, including the ability to translate data into clear narratives for non-technical audiences
  • Experience presenting data insights to stakeholders or clients

Education and Experience
  • Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related field
  • 3-5 years of experience in data analysis, reporting, research, or analytics roles
  • Familiarity with recruiting analytics, labor market data, or digital marketing performance data

Travel Requirements
  • This role requires periodic travel to attend internal meetings, client engagements, and company events. Travel frequency may vary based on business needs and opportunities.

Fair Labor Standards Act Status
  • Salaried Exempt: Personnel will earn their regular salary and not be entitled to overtime pay when they work over 40 hours in a workweek.

Supervisory Responsibilities
  • This position has no supervisory responsibilities

Expected Salary Range: $57,500 - $114,000 USD
Additional Information
Appcast recognized as one of Inc Magazine's "Best Workplaces" for 2024!
  • We're the best at what we do. We're the global leader in programmatic recruitment advertising. With advanced technology, unmatched market data and a team of the industry's best recruitment marketers.
  • We have an amazing culture driven by great people. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe, Appcast is part of the Stepstone group. To better understand our company culture, read Our Story and check out Working at Appcast on our website.
  • We take care of our employees. We're dedicated to creating an inviting environment where individuals from diverse backgrounds can thrive and develop. We believe in providing competitive compensation and comprehensive benefits, ensuring our team can support their loved ones and one another. We enjoy fostering a sense of community through dedicated employee networks, fun gatherings, delicious food, and even welcoming furry friends into our workspace. We live our values each day including volunteering and giving back to our communities.

All your information will be kept confidential according to EEO guidelines.
Appcast is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization.
E-Verify® is a registered trademark of the U.S. Department of Homeland Security. This employer does not use E-Verify to pre-screen job applicants and will not discriminate based on national origin, citizenship, or immigration status.

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