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Part Time Entry Level Data Analyst Jobs in Colorado

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Part Time Entry Level Data Analyst information

What is a part time entry level data analyst?

A part time entry level data analyst is someone who works fewer hours than a full-time employee and is typically new to the field of data analysis. Their main responsibilities include collecting, cleaning, and interpreting data to help organizations make informed decisions. They often use basic tools like Excel or introductory data analysis software, and work under the supervision of more experienced analysts. Entry level roles are designed for those who may have limited professional experience or are recent graduates looking to build their skills.

What types of projects and tasks can I expect to handle as a part-time entry level data analyst?

As a part-time entry level data analyst, you'll typically work on tasks such as cleaning and organizing raw data, creating basic reports and visualizations, and assisting with data quality checks. You might also help maintain databases or support senior analysts with ongoing projects, such as tracking key metrics or preparing presentations. The projects are usually well-defined and supervised, making this role an excellent opportunity to build foundational skills while working closely with experienced team members.

Can I do data analyst part-time?

Part-time data analyst positions are available and suitable for entry-level candidates. These roles often involve flexible hours and may require proficiency in tools like Excel, SQL, or Tableau. Availability depends on employer needs and the specific job requirements.

Is 40 too late for data science?

For a part-time entry-level data analyst role, age is generally not a barrier; skills such as data analysis, Excel, and basic programming are more important. Many professionals transition into data roles later in life by gaining relevant certifications or training, and employers value diverse experience. Age should not deter you from pursuing entry-level data analysis positions if you have the necessary skills and motivation.

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

To thrive as a Part Time Entry Level Data Analyst, you generally need a basic understanding of statistics, data interpretation, and proficiency with spreadsheet tools like Microsoft Excel, often supported by a relevant degree or coursework. Familiarity with data visualization software (e.g., Tableau), databases (e.g., SQL), and potentially introductory certifications in analytics are common requirements. Attention to detail, problem-solving abilities, and effective communication are soft skills that set standout candidates apart. These skills and qualities are crucial for accurately analyzing data, drawing meaningful insights, and clearly presenting findings to support organizational decision-making.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but they do not fully replace data analysts. Entry-level data analysts are still needed to interpret insights, make strategic decisions, and work with complex datasets that require human judgment and domain knowledge. Developing skills in data visualization and tools like Excel or SQL remains valuable in this evolving environment.

Can I be a data analyst with no experience?

Entry-level data analyst positions often do not require prior experience and focus on skills such as basic data manipulation, Excel, and familiarity with tools like SQL or Python. Candidates can improve their chances by completing relevant online courses or certifications to demonstrate foundational knowledge.
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Infographic showing various Part Time Entry Level Data Analyst job openings in Colorado as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Analysis Intern

$21 - $24/hr

Full-time, Part-time, Internship

Posted 12 days ago


Job description

Time Period: June 2026 – August 2026
Schedule: Full-time hours preferred, part-time may be considered
Location: Denver, CO
Description: The American Water Works Association (AWWA) is the authoritative resource on safe water, providing knowledge, information and advocacy to improve the quality and supply of water in North America and beyond. AWWA advances public health, safety and welfare by uniting efforts of the full spectrum of the water community.
The Partnership for Safe Water and Partnership for Clean Water (Partnership Programs) are utility optimization programs managed by AWWA and six alliance member organizations (EPA, AMWA, ASDWA, NAWC, The Water Research Foundation, and WateReuse). The Partnership Programs provide utilities with a structured self-assessment process to examine their operations, identify areas for improvement, and work toward optimized performance.
Nearly 500 utilities across North America have voluntarily chosen to join the Partnership Programs and hold themselves to higher standards than current regulations in the water industry. Utilities in the Partnership Programs submit baseline data on several water quality and system integrity parameters when they join the program, and then resubmit this data every year to track their improvement and demonstrate their commitment to high performance.
To embody the culture of continuous improvement and excellence that the Partnership Programs expect of our members, Partnership is working to improve the review process for annual data submissions; improve the tools and systems used to store, track, and display data; and compile statistics to better understand members’ performance in the program and areas for improvement. To support these efforts, the Partnership Programs are seeking a person who has expertise in data review and processing, data interpretation, and tool and system development. This person should be familiar with Microsoft Excel, be able to quickly learn and use new portals and data storage systems, and carry out basic statistics and data analysis.
The selected candidate will primarily support annual data review and process improvement, but will also support the development of new data collection tools and templates and resources, and will provide support to Partnership member utilities who have data-related issues.
Qualifications:
  • Graduate student pursuing an advanced degree in Engineering, Data Science, or another discipline with a focus on data analysis. Undergraduate students that have completed at least their junior year will also be considered.
  • Intermediate computer skills and proficiency in MS Word, MS Excel, PowerPoint, and Outlook required. Prior experience with databases, dashboards, and data visualization applications preferred.
  • Prior water industry experience or interest in a water industry career preferred.
  • Excellent communication skills required; prior customer- or client-facing experience preferred.
  • Must be able to work independently with minimal supervision.
  • Demonstrated time management skills and ability to work independently, handle multiple priorities with shifting time frames, and meet deadlines; high degree of initiative, urgency, and follow-through.
Wage/Salary Information: $21 - $24 per hour, dependent upon qualifications
Deadline to Apply: June 15, 2026