ZipRecruiter

Log In

1

Data Analyst Computer Science Jobs in Colorado (NOW HIRING)

StepStone Group

Data Analyst II

Denver, CO · On-site

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 ...

Appcast

Senior Data Analyst

Denver, CO

$89K - $113K/yr

Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related ... field   * Advanced degree (Master's/MBA) is a plus, not required  * 4-6+ years in data ...

StepStone Group

Senior Data Analyst

Denver, CO

$89K - $113K/yr

Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related field ... Advanced degree (Master's/MBA) is a plus, notrequired * 4-6+ years in data analytics, data science ...

StepStone Group

Senior Data Analyst

Denver, CO

$89K - $113K/yr

Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related field ... Advanced degree (Master's/MBA) is a plus, notrequired * 4-6+ years in data analytics, data science ...

StepStone Group

Senior Data Analyst

Denver, CO

$89K - $113K/yr

Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related field ... Advanced degree (Master's/MBA) is a plus, notrequired * 4-6+ years in data analytics, data science ...

EchoStar

Data Analyst II

Englewood, CO · On-site

$72K - $103K/yr

Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google ... Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science ...

EchoStar

Data Analyst II

Englewood, CO · On-site

$72K - $103K/yr

Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google ... Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science ...

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$80K - $100K/yr

Artifact Uprising is looking for a hands-on Senior Data Analyst to join our small but mighty ... computer science) or equivalent experience Preferred * Experience with Snowflake, dbt, and LookML ...

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$80K - $100K/yr

Artifact Uprising is looking for a hands-on Senior Data Analyst to join our small but mighty ... computer science) or equivalent experience Preferred * Experience with Snowflake, dbt, and LookML ...

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$88K - $111K/yr

Artifact Uprising is looking for a hands-on Senior Data Analyst to join our small but mighty ... computer science) or equivalent experience Preferred * Experience with Snowflake, dbt, and LookML ...

InnovAge

Revenue Operations Data Analyst

Denver, CO · On-site

$103K - $165K/yr

Preferred majors: hard sciences, mathematics, engineering, data science, finance, business ... Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) or equivalent experience

next page

Showing results 1-20

All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Colorado

Data Analyst Computer Science information

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What are popular job titles related to Data Analyst Computer Science jobs in Colorado? For Data Analyst Computer Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Colorado look for? The top searched job categories for Data Analyst Computer Science jobs in Colorado are:
What cities in Colorado are hiring for Data Analyst Computer Science jobs? Cities in Colorado with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Colorado as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution.
Data Analyst II

Data Analyst II

StepStone Group

Denver, CO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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.

Apply