1

Commission Data Analyst Jobs in Colorado (NOW HIRING)

Data & BI Senior Associate

Superior, CO ยท On-site

$80K - $150K/yr

Identify, analyze, and escalate emerging asset quality trends and risks * Support the quarterly ... commission, and/or discretionary incentives. Please click here for a list of benefits for which ...

... analyze, and interpret sales reports to provide actionable insights. * Exceptional attention to detail, particularly when handling commission data and sales metrics. * Ability to work in a fast-paced ...

Partner collaboratively with Global Support, Renewals, and Customer Success leaders to deliver data ... Yes Commission Eligible? No Benefits: Trimble offers comprehensive core benefits that include ...

Financial Analyst

Westminster, CO ยท On-site

$78K - $107K/yr

Partner collaboratively with Global Support, Renewals, and Customer Success leaders to deliver data ... Yes Commission Eligible? No Benefits: Trimble offers comprehensive core benefits that include ...

next page

Showing results 1-20

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:

Bilingual Data Analyst I (Spanish & English)

Kforce Technology Staffing

Greenwood Village, CO โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

RESPONSIBILITIES:
Kforce is immediately seeking an experienced Bilingual Data Analyst I, in support of our enterprise telecommunications and mass media client based in Greenwood Village, CO. Candidates must be local to CO.
Summary:
We are looking for a Bilingual Data Analyst I to support a telecom client's Customer Experience team, working closely with Data Scientists on AI model validation and data processing. This role involves manual data labeling, model output validation, dashboard creation, and ad-hoc reporting.
Responsibilities:
* Data Analyst will perform manual labeling of data to support AI model training
* Validate AI model outputs, ensuring accuracy and identifying gaps
* Analyze call transcriptions and compare them against model predictions
* Extract and prepare data from various sources using SQL
* Bring data into a centralized environment for analytics and model training
* As a Data Analyst, you will create and maintain Power BI dashboards, publishing and sharing insights
* Support ad-hoc reporting requests from stakeholders
* Document findings, model validation results, and processes using JIRA
REQUIREMENTS:
* 2+ years as a Data Scientist or similar
* Proficiency in SQL for data extraction and manipulation
* Python skills for data processing and validation tasks
* Experience in data validation to assess model performance and accuracy
* Strong analytical and problem-solving skills
Preferred Skills:
* Experience with Databricks for data processing
* Knowledge of Power BI for reporting and visualization
* Exposure to LLM models and GPT-based AI solutions
* Familiarity with cloud environments like Azure or AWS
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.