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Commission Data Analyst Jobs in Colorado (NOW HIRING)

Proven track record administering sales commissions and handling sensitive compensation data with discretion * Strong quota modeling experience, including territory planning and attainment analysis

Collect and analyze behavioral data to guide clinical decision-making. * Supervise and provide ... Any required state or Joint Commission training is compensated at the state or local minimum wage ...

Work with Snowflake as a distributed data platform to support downstream analytics and reporting ... Most sales positions are eligible for a Commission under the terms of an applicable plan, while ...

Consulting Data Architect

Denver, CO · On-site

$100K - $140K/yr

... event management and analysis * Experience as a key player in developing an enterprise data ... commissions, that are not included in the base pay. The well-being of WWT employees is essential.

Business Analyst

Colorado Springs, CO · On-site

$88K - $141K/yr

... support data-driven decisions and cultivates effective relationships with internal/external ... In addition, other compensation, such as an annual incentive bonus, sales commission or long-term ...

Showing results 41-60

Commission Data Analyst information

See Colorado salary details

$13

$36

$62

How much do commission data analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for commission data analyst in Colorado is $36.69, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $44.47 per hour, depending on experience, location, and employer.

What is a commission data analyst?

Commission Data Analysts are professionals who specialize in managing, analyzing, and interpreting commission-related data for organizations. They ensure accurate calculation and reporting of commissions by collecting sales data, identifying discrepancies, and providing insights to improve compensation processes. These analysts often collaborate with sales, finance, and HR teams to implement commission structures, generate reports, and support decision-making. Their work helps maintain transparency and fairness in commission payments, ultimately supporting employee motivation and business goals.

What is the difference between Commission Data Analyst vs Sales Data Analyst?

AspectCommission Data AnalystSales Data Analyst
Required CredentialsBachelor's in Data Analysis, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Business, Marketing, or related; strong analytical skills, proficiency in CRM and sales software
Work EnvironmentCorporate offices, finance, or sales departments; focus on commission structures and payout analysisSales teams, marketing departments; focus on sales performance and market trends
Employer & Industry UsageFinancial services, real estate, insurance, sales organizationsRetail, technology, manufacturing, and sales-driven industries

The main difference between a Commission Data Analyst and a Sales Data Analyst lies in their focus areas. Commission Data Analysts primarily analyze commission structures and payout data, while Sales Data Analysts focus on overall sales performance and market trends. Both roles require strong analytical skills and familiarity with data tools, but their specific responsibilities and industry applications differ slightly.

What are the key skills and qualifications needed to thrive as a commission data analyst, and why are they important?

To excel as a Commission Data Analyst, you need strong analytical skills, advanced proficiency in Excel, and a background in finance, accounting, or data analysis. Familiarity with commission management software, CRM systems like Salesforce, and SQL for database querying is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These competencies ensure accurate commission calculations, clear reporting, and seamless collaboration with sales and finance teams.

What are some common challenges faced by commission data analysts, and how can they be addressed?

Commission Data Analysts often encounter challenges related to data accuracy, integrating information from multiple sources, and handling complex commission structures. Ensuring timely and error-free calculations requires attention to detail and strong analytical skills. Collaborating closely with sales, finance, and IT teams can help clarify requirements and resolve discrepancies quickly. To address these challenges, it's important to establish clear data validation processes and maintain open communication channels with relevant stakeholders.
What are the most commonly searched types of Data Analyst jobs in Colorado? The most popular types of Data Analyst jobs in Colorado are:

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University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

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Job description

Senior Director for Academic Data and Assessment

The University of Colorado Boulder encourages applications for the Senior Director for Academic Data and Assessment position! Reporting to the Vice Provost for Academic Technology and Resource Management (ATRM), with a dotted line to the Vice Chancellor and Senior Vice Provost for Academic Planning and Assessment, this position serves as a collaborative partner with campus data teams and academic units to advance academic data strategy, decision support, and learning assessment in the Office of the Provost. The Senior Director leads the development of Academic Affairs data infrastructure and collaborates broadly to support data-informed decision-making across the Office of the Provost, Graduate School, Office of Undergraduate Education (OUE), Office of Faculty Affairs, Division of Student Life (SL), Center for Teaching and Learning (CTL), and Data and Analytics, as well as academic units and schools and colleges. In close partnership with the Associate Vice Chancellor for Academic Affairs Budget and Finance, this role supports alignment of academic analytics with financial strategy and resource planning, ensuring that data insights effectively inform budget allocation decisions and long-range academic and financial planning. The role also serves as a direct liaison to, and partner for, Data and Analytics for matters affecting academic resources, planning, and strategies. It provides strategic leadership for institutional learning assessment, academic program review, and accreditation. This includes oversight of student learning outcomes (SLOs), program learning outcomes (PLOs), and the faculty governance academic program review process; coordination of CU Boulder's accreditation with the Higher Learning Commission; and partnership with Academic Affairs leadership to evaluate and strengthen academic programs in support of the university's mission. Working closely with the Vice Chancellor and Senior Vice Provost for Academic Planning and Assessment, and other assessment leaders across Academic Affairs and in the schools and colleges, the Senior Director advances a culture of assessment and continuous improvement, ensuring the university effectively demonstrates the quality and impact of its academic programs and learning environment. CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

Academic Affairs and Academic Technology and Resource Management (ATRM) work together to advance CU Boulder's academic mission through excellence in teaching, learning, and data-informed decision-making. Led by the Provost, Academic Affairs provides leadership for academic programs, faculty affairs, and student success, while ATRM delivers the technology, data infrastructure, and resource strategy that enable effective planning, assessment, and continuous improvement across the university.

What Your Key Responsibilities Will Be

Build and Lead the Data Infrastructure for Academic Affairs

  • Develop and advance an enterprise data strategy for Academic Affairs, including governance, reporting frameworks, and decision-support tools, in partnership with the Office of Data Analytics.
  • Advise the Provost and members of the Provost's Cabinet on data priorities, investments, and analytics that support academic planning, program effectiveness, and student success.
  • Lead the implementation of integrated, scalable data systems aligned with campus data architecture and policies.
  • Supervise and develop staff, ensuring workflows and high-quality outputs.
  • Build a scalable team structure to meet evolving Academic Affairs data and analytics needs.

Drive Collaboration & Organizational Change

  • Partner with Academic Affairs, Institutional Research, ODA, and OIT to align data definitions, reporting standards, and analytics priorities.
  • Lead organizational change efforts related to data infrastructure, including role clarity, reporting relationships, and continuity of operations.
  • Support university strategic priorities including creating environments where everyone can thrive; applying approaches (e.g., disaggregation) that advance equity.
  • Promote, support, and lead a culture of data-informed decision-making through shared tools, training, and engagement with academic leaders.

Provide Operational Leadership & Execution

  • Set priorities and handle delivery of analytics, reporting, and decision-support services.
  • Establish work plans, timelines, and performance metrics aligned with institutional goals.
  • Translate complex data into clear, actionable insights for leadership decision-making.

Provide Institution-Level Learning Assessment, Program Review, & Accreditation Support

  • Design, lead and implement strategic institutional-level assessment of student learning results.
  • Collaborate/participate in academic program review process, assisting in the review of assessment plans, providing formative feedback for academic departments/units, and helping find opportunities to enact significant educational change.
  • Provide strategic advice and consultation to academic leadership, implementation, and evaluation of improvements and enhancements to existing educational operations, systems, and procedures.
  • Conduct qualitative/quantitative research, including supervision of data collection efforts and analysis to report on impact of student learning outcomes and curricular effectiveness to support leadership in data informed decision-making.
  • Lead coordination of assessment and institutional effectiveness activities needed for compliance purposes and for HLC accreditation, in partnership with ODA/others.
  • Summarize findings, write executive reports, and present assessment results for both internal and external constituents.
  • Partner with ODA and others to recommend a data analysis/reporting strategy and structure that improves opportunities to generate useful data.
  • Supervise the collection, analysis/evaluation of annual program academic assessment plans and reports as appropriate.

Lead Learning Assessment Across Campus

  • Alongside Student Life and Undergraduate Education, advise Data and Analytics in the ongoing development and implementation of comprehensive outcomes assessment. programs for all academic and non-academic units that support the teaching-related goals of the university's strategic plan.
  • Support Data and Analytics in planning, collection and analysis of various data to support departmental, accreditation and program reviews, including the dissemination of results and assisting others with understanding and appropriately using them.
  • Deliver and provide data-based recommendations to campus assessment leaders through the use of applied science, analytics, and visualization.
  • Provide appropriate data to support assessment processes, prepare reports summarizing those data, and maintain content on the institutional assessment web pages.
What You Should Know
  • A hybrid work schedule is offered with 3 days per week on campus.
  • We are unable to offer visa sponsorship for this position.
What We Can Offer
  • The annual hiring range for this full-time position is $150,000-$180,000. Onboarding assistance is available for eligible candidates.

At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.

Be Statements

Be creative. Be impactful. Be Boulder.

What We Require
  • Master's degree from an accredited institution of higher education.
  • 6+ years of directly relevant professional experience with data analysis from a variety of sources and for a variety of questions and purposes.
  • Advanced statistical skills using tools such as Tableau, Power BI, R, and others.
  • Demonstrated experience with strategy, data-driven decision making, and cross-organizational collaboration.
What You Will Need
  • Knowledge of state and federal higher education accountability regulations and national initiatives and trends in higher education assessment.
  • Shown ability to effectively apply independent judgment and professional discretion to prioritize and/or align challenging demands, solve issues, and move projects/processes forward.
  • Demonstrated ability to establish relationships across an institution of higher education to work successfully and collaboratively toward common goals with a diverse range pf faculty and staff.
  • Demonstrated ability to apply data-informed practices to identify and mitigate unintended bias in decision-making processes and outcomes.
  • Demonstrated knowledge of data collection, analysis, and interpretation methods; experience working with both qualitative and quantitative data to inform continuous improvement, including familiarity with research design, data visualization, and statistical analysis.
  • Ability to communicate effectively verbally and in writing including tailoring presentations and data-rich reports to be easily understood and used by a variety of partners.
  • Working knowledge of Microsoft Office tools and Qualtrics.
  • Familiarity with use of an

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