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Part Time Data Analyst Jobs in Colorado (NOW HIRING)

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Pay Range: $40.00 - $45.00/hr DOE Shift/Days: Part-Time (Schedule Info Pending) Are you a skilled Data Analyst who loves bridging the gap between complex database systems and real-world business ...

GEOINT Analyst

Aurora, CO · On-site +1

$61K - $141K/yr

... data to give their clients the right answers. As a fusion analyst, you can use your technical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

GEOINT Analyst

Aurora, CO · On-site +1

$61K - $141K/yr

... data to give their clients the right answers. As a fusion analyst, you can use your technical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Threat Hunt Analyst

Lakewood, CO · On-site +1

$99K - $225K/yr

Experience analyzing endpoint, network, and log data to identify malicious or anomalous behavior ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Data Analyst information

See Colorado salary details

$35.8K

$86.9K

$143K

How much do part time data analyst jobs pay per year?

As of Jul 24, 2026, the average yearly pay for part time data analyst in Colorado is $86,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 per year, depending on experience, location, and employer.

What are part time data analysts?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

Is 40 too late for data science?

A part-time data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications or training. Success depends on skills, experience, and continuous learning rather than age alone.

Can you be a data analyst as a side hustle?

Yes, data analysts can pursue side projects or freelance work outside their main employment, often using skills in Excel, SQL, or data visualization tools. Managing time and maintaining confidentiality are important when working part-time or freelance as a data analyst.

Will AI replace data analysts?

AI tools 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 and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace the profession.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Is a data analyst a part-time job?

A data analyst position can be offered as either full-time or part-time, depending on the employer and project needs. Part-time data analyst roles typically involve fewer hours per week and may require skills in data visualization, SQL, and Excel. Availability for part-time work varies by company and industry demand.

What Does a Part-Time Data Analyst Do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a Part Time Data Analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
What are the most commonly searched types of Data Analyst jobs in Colorado? The most popular types of Data Analyst jobs in Colorado are:
What cities in Colorado are hiring for Part Time Data Analyst jobs? Cities in Colorado with the most Part Time Data Analyst job openings:
Infographic showing various Part Time Data Analyst job openings in Colorado as of July 2026, with employment types broken down into 100% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $86,898 per year, or $41.8 per hour.

Data Analyst (SQL & Power BI) - Government Project

Above The Rest Staffing, Inc.

Denver, CO • On-site

$40 - $45/hr

Part-time

Retirement

Posted 7 days ago


Job description

Data Analyst (SQL & Power BI) – Government Project
Location: West Denver Area, CO
Position Type: Onsite / Project Based - Please Note: This is a 100% in-person, onsite role in the Greater Denver, CO area and candidates must currently reside within daily commuting distance location at the time of application. Relocation assistance and remote work are not available for this project.
Pay Range: $40.00 - $45.00/hr DOE
Shift/Days: Part-Time (Schedule Info Pending)

Are you a skilled Data Analyst who loves bridging the gap between complex database systems and real-world business decisions?

We are seeking a collaborative Data Analyst for an exciting project with a governmental client in the West Denver area. In this role, you won't just sit behind a screen. You will actively partner with various municipal department teams to map out operational workflows, audit legacy database structures, and build dynamic Power BI dashboards that empower city leaders to make data-driven decisions.

While this is a project-based, temporary position, our clients frequently look to our talented temporary team members when permanent internal roles open up. If you are looking to make a highly visible impact in the public sector, we want to hear from you!

What We Offer (Our Benefits):
As a W-2 employee with us, you will enjoy a supportive employment experience with standard staffing benefits, including:
  • Weekly Electronic Pay (Direct Deposit).
  • W-2 Employment Status.
  • Retirement Savings Plans.
  • Dedicated recruiter support throughout your assignment.

Key Responsibilities:
  • Collaborate & Translate: Partner directly with non-technical department heads to understand their reporting challenges and translate business needs into technical database specifications.
  • Modernize & Automate: Map out legacy database tables (ADG system) and transition static, text-heavy reports into interactive, user-friendly Power BI dashboards.
  • Data Extraction: Write precise, efficient SQL queries (including joins, subqueries, and views) to extract and clean complex datasets.
  • Ensure Integrity: Audit and validate new reports against source systems to ensure absolute accuracy and document workflows for future internal users.

What You Bring (Qualifications):
  • Strong SQL Skills: Proven experience writing relational database queries to extract, clean, and manipulate backend data.
  • Power BI Expertise: Hands-on experience designing, building, and maintaining interactive visual dashboards (experience with SSRS is also acceptable).
  • Excellent Communication: Comfort interviewing business users, managing stakeholder expectations, and presenting technical data in a simple, visual format.
  • The Extras (Pluses): Prior experience in local government/public sector, SSRS experience, or direct experience navigating ADG (American Data Group / Vantage ERP) is highly preferred.

Onboarding & Compliance Requirements:
Because this position supports a government entity, candidates must be prepared to complete the following onboarding steps:
  • Municipal Background Check: Must successfully pass a comprehensive municipal background check prior to being granted system and network access.
  • Fingerprint & CJIS Clearance: Because certain projects require access to sensitive public safety or court data, the selected candidate must be eligible to undergo a fingerprint-based criminal history check and obtain CJIS (Criminal Justice Information Services) certification within the first 30 days of placement. (Please note: Fingerprinting and clearance processing times will apply prior to full system access).

Please forward your resume for consideration.