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Data Analyst

Pay
$70,898–80,566/yearAnnual period assumed — pay source
Location: Littleton Salary Range: $70,898 - $80,566 Who We Are:
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design, build, automate and maintain data pipelines, reports and BI solutions

  • Build and maintain dashboards and visualizations in Power BI, Tableau and web tools

  • Query and analyze large, complex data sets using Excel, SQL, Python, R and BI tools

  • Monitor and report key performance indicators for institutional planning

  • Coordinate institutional surveys and manage survey platforms

From the employer’s posting
Design, build, automate, and maintain data pipelines, reporting frameworks, and business intelligence solutions.
Develop and maintain interactive dashboards, reports, and visualizations using Power BI, Tableau, and web-based tools.
Query, manage, and analyze large and complex data sets using tools such as Excel, SQL, Python, R, and business intelligence platforms.
Monitor and report key performance indicators (KPIs) that support institutional planning and decision-making.
Coordinate institutional surveys, manage survey platforms, and support the interpretation and communication of survey results.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree OR an equivalent combination of education and/or relevant experience.

Preferred experience

  • Experience designing, administering, and analyzing surveys.
Qualification wording
Bachelor’s degree OR an equivalent combination of education and/or relevant experience. An equivalency will not count towards the experience requirements listed below.
Experience designing, administering, and analyzing surveys.
Education & alternatives
Minimum Qualifications: - Bachelor’s degree OR an equivalent combination of education and/or relevant experience. An equivalency will not count towards the experience requirements listed below. - Two years of professional experience with large and longitudinal data sets in relational database environments, SQL, Python, or R for data querying, manipulation, and analysis. ETL/ELT pipelines and data integration, ad hoc data analysis in spreadsheet applications using formulas, data connection queries, and Power Pivot, and data visualization platforms such as Tableau, Power BI, or Looker.

About Colorado Community College System

ACC Careers: Where You Can Move Mountains

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 20267 days ago
Recorded sightings
46
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 5 and day 41.

From 10,933 similar postings that came down. Coming down is not always a hire.

Colorado Community College System is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C#
  • Java
  • Python
  • R
  • SAS
  • SQL
  • Excel
  • Looker
  • MySQL
  • NoSQL
  • Oracle
  • PostgreSQL
  • Power BI
  • SQL Server
  • Tableau
Where the posting names them
- Knowledge of higher education reporting, compliance, and accreditation processes, including experience with external reporting requirements (e.g., IPEDS, Common Data Set, state and federal reporting), institutional surveys, course evaluations, and continuous improvement initiatives. - Skilled in programming languages for data analysis and automation, such as Python, Java, C#, SAS, R, and SPSS. - Ability to guide data conversations and data consumers so data are presented and interpreted as actionable insights for immediate use in institutional decision-making for business decisions.
- Design, build, automate, and maintain data pipelines, reporting frameworks, and business intelligence solutions. - Query, manage, and analyze large and complex data sets using tools such as Excel, SQL, Python, R, and business intelligence platforms. - Develop and maintain interactive dashboards, reports, and visualizations using Power BI, Tableau, and web-based tools.
- Bachelor’s degree OR an equivalent combination of education and/or relevant experience. An equivalency will not count towards the experience requirements listed below. - Two years of professional experience with large and longitudinal data sets in relational database environments, SQL, Python, or R for data querying, manipulation, and analysis. ETL/ELT pipelines and data integration, ad hoc data analysis in spreadsheet applications using formulas, data connection queries, and Power Pivot, and data visualization platforms such as Tableau, Power BI, or Looker. Preferred Qualifications:
Competencies/KSAs: - Expertise in relational and NoSQL databases, including SQL Server, Oracle, MySQL, PostgreSQL, with advanced skills in writing and optimizing SQL queries, procedures, and views. - Proficient in data integration and ETL/ELT processes, with strong understanding of data warehousing and business intelligence concepts.
- Query, manage, and analyze large and complex data sets using tools such as Excel, SQL, Python, R, and business intelligence platforms. - Develop and maintain interactive dashboards, reports, and visualizations using Power BI, Tableau, and web-based tools. - Collaborate with faculty, staff, administrators, and leadership to identify data needs and deliver actionable insights.
- Ability to guide data conversations and data consumers so data are presented and interpreted as actionable insights for immediate use in institutional decision-making for business decisions. - Experienced in building interactive dashboards and visualizations using Power BI, Tableau, and web-based tools. - Strong analytical and problem-solving skills and attention to detail for work with moderate-to-high complexity data under moderate supervision.

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Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,388, and the latest week had 1,365.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Data Analyst

Apply now Job no: 493393
Work type: Full Time
Location: Littleton
Categories: Administrator

Title: Data Analyst

Position Type: Professional Tech Full time

College: Arapahoe Community College

Division: Strategy & Institutional Initiatives

Department: ACC Institutional Research

Campus: Littleton Campus

Location: Littleton

Salary Range: $70,898 - $80,566

 

Who We Are:

ACC Careers: Where You Can Move Mountains

Nestled in the foothills of the Rocky Mountains sits one of the oldest community colleges in Colorado, Arapahoe Community College. With a rich history of educational excellence, ACC embraces a culture that values diversity, individualized support, and unwavering commitment to student success, without exception.

 

Job Summary:

Arapahoe Community College is seeking a Data Analyst to support institutional effectiveness through data analysis, reporting, automation, and business intelligence solutions. Working within the Office of Institutional Research, this position plays a critical role in collecting, analyzing, and interpreting institutional data related to enrollment, student success, demographics, and other key performance indicators that inform strategic planning across the college.

Candidates should be comfortable operating in both modern and legacy data environments. While proficiency in current analytics tools and best practices is essential, this role requires flexibility and problem-solving skills to work effectively with less-structured data systems as we continue to modernize our data infrastructure. Success in this position requires a commitment to data integrity, continuous improvement, and the ability to communicate complex information to both technical and non-technical audiences.

Key Responsibilities:

  • Design, build, automate, and maintain data pipelines, reporting frameworks, and business intelligence solutions.
  • Query, manage, and analyze large and complex data sets using tools such as Excel, SQL, Python, R, and business intelligence platforms.
  • Develop and maintain interactive dashboards, reports, and visualizations using Power BI, Tableau, and web-based tools.
  • Collaborate with faculty, staff, administrators, and leadership to identify data needs and deliver actionable insights.
  • Monitor and report key performance indicators (KPIs) that support institutional planning and decision-making.
  • Ensure data accuracy, integrity, and consistency by partnering with data owners across the college.
  • Coordinate institutional surveys, manage survey platforms, and support the interpretation and communication of survey results.
  • Provide training and guidance on data access, interpretation, visualization, and the effective use of data in decision-making.

Competencies/KSAs:

  • Expertise in relational and NoSQL databases, including SQL Server, Oracle, MySQL, PostgreSQL, with advanced skills in writing and optimizing SQL queries, procedures, and views.
  • Proficient in data integration and ETL/ELT processes, with strong understanding of data warehousing and business intelligence concepts.
  • Knowledge of higher education reporting, compliance, and accreditation processes, including experience with external reporting requirements (e.g., IPEDS, Common Data Set, state and federal reporting), institutional surveys, course evaluations, and continuous improvement initiatives.
  • Skilled in programming languages for data analysis and automation, such as Python, Java, C#, SAS, R, and SPSS.
  • Ability to guide data conversations and data consumers so data are presented and interpreted as actionable insights for immediate use in institutional decision-making for business decisions.
  • Experienced in building interactive dashboards and visualizations using Power BI, Tableau, and web-based tools.
  • Strong analytical and problem-solving skills and attention to detail for work with moderate-to-high complexity data under moderate supervision.
  • Effective team collaborator and communicator across technical and non-technical audiences, translating campus needs into data solutions.
  • Capable of navigating ambiguity, managing multiple projects independently, time management within a demanding workload, and adapting to evolving technologies.
  • Committed to data integrity and confidentiality with a logical approach to organizing, analyzing, and documenting data.

Minimum Qualifications:

  • Bachelor’s degree OR an equivalent combination of education and/or relevant experience. An equivalency will not count towards the experience requirements listed below.
  • Two years of professional experience with large and longitudinal data sets in relational database environments, SQL, Python, or R for data querying, manipulation, and analysis. ETL/ELT pipelines and data integration, ad hoc data analysis in spreadsheet applications using formulas, data connection queries, and Power Pivot, and data visualization platforms such as Tableau, Power BI, or Looker.

Preferred Qualifications:

  • Experience designing, administering, and analyzing surveys.

Application Instructions: 

All applicants must submit:

1. Resume
2. Detailed letter of interest (cover letter) addressing the job announcement. Please include any experiences you may have embedding equity and inclusion in your work, see below.

At ACC, we seek to hire candidates who are committed to fostering respectful, welcoming, and supportive environments for all individuals. In your cover letter, please describe how you have worked to create such environments in your current or previous roles, and share what this commitment means to you in your professional practice

Additional Information/Benefits:

All benefits information can be found at the Benefits tab on the top of the page.

Advertised: 27 Oct 2026 Mountain Daylight Time
Applications close: 05 Nov 2026 Mountain Standard Time

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Location: Littleton Salary Range: $70,898 - $80,566 Who We Are:
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