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Data Analytics Certificate Jobs in Colorado (NOW HIRING)

Primeritus Financial Services Inc

CO · On-site

... certified agents and unique investigative techniques to quickly and reliably secure customers ... The Data Analytics Lead shapes how Primeritus uses data. This person architects our BI and ...

New

Jobtailor

$70 - $100/hr

* The Data Analyst supports the U.S. Consumer Services organization by analyzing business performance ... Problem-Solving Certifications & Qualifications * MBA * Master's Degree in Analytics #J-18808 ...

New

Socket.dev

Data Analyst

Denver, CO · On-site

$90 - $110/hr

Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a ... certifications; and delivery model. This is a long-term consulting engagement with an expected ...

New

UCHealth

Data Analyst

Aurora, CO · On-site

$31.61 - $47.41/hr

Develops, prepares, and maintains pharmacy data analytics and reporting tools to monitor ... UCHealth provides access to academic degrees and certificate programs to promote professional and ...

New

UCHealth Colorado Career

Data Analyst

Aurora, CO · On-site +1

$31.61 - $47.41/hr

Develops, prepares, and maintains pharmacy data analytics and reporting tools to monitor ... UCHealth provides access to academic degrees and certificate programs to promote professional and ...

New

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Google Data Analytics Professional Certificate; IBM Data Science Professional Certification. Qualifications Minimum Experience: Citizenship: Must be a US citizen Clearance: Must have and be able to ...

Pwc

Data Strategy-Manager

Denver, CO · On-site

$99K - $232K/yr

... AWS Certified Data Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional ...

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All JobsData Analytics Certificate JobsData Analytics Certificate Jobs in Colorado

Data Analytics Certificate information

See Colorado salary details

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$57

$99

How much do data analytics certificate jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics certificate in Colorado is $57.57, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $65.19 per hour, depending on experience, location, and employer.

What is a data analytics certificate?

A Data Analytics Certificate job typically involves working with data to identify trends, generate insights, and help businesses make data-driven decisions. Professionals in these roles use analytical tools, statistics, and programming languages like Python or SQL to clean and interpret data. Earning a certificate in data analytics can help individuals gain fundamental skills and qualify for entry-level positions such as data analyst, business analyst, or reporting analyst.

What types of projects or tasks can I expect to work on with a data analytics certificate?

With a Data Analytics Certificate, you can expect to work on projects involving data collection, cleaning, and analysis, often supporting business decisions through reports and dashboards. Typical tasks may include identifying trends in large datasets, building visualizations to present your findings, and collaborating with teams such as marketing, finance, or operations to solve company challenges. Many roles also involve using statistical techniques to forecast outcomes or optimize processes. As you gain experience, you may take on more complex projects and assume greater responsibility for advising decision-makers or implementing analytics solutions.

What are the key skills and qualifications needed to thrive in the data analytics certificate position, and why are they important?

To thrive in data analytics, candidates need strong quantitative and statistical skills, proficiency in data visualization, and a solid understanding of data management concepts, typically demonstrated through formal training or a Data Analytics Certificate. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is essential. Analytical thinking, attention to detail, and the ability to clearly communicate insights are key soft skills for this field. These competencies allow professionals to transform complex data into actionable insights that drive better business decisions.

Is a data analytics certificate worth it?

A data analytics certificate can enhance job prospects for roles such as data analyst by demonstrating proficiency in tools like Excel, SQL, and Tableau. It provides foundational skills valued by employers and can help candidates stand out in a competitive job market, often leading to higher starting salaries and career advancement opportunities.

Which certification is best for a data analyst?

The most recognized certification for data analysts is the Microsoft Certified Data Analyst Associate, which validates skills in using Power BI and data modeling. Other valuable certifications include the Certified Analytics Professional (CAP) and Tableau Desktop Specialist, depending on the tools and skills relevant to the role.

What are popular job titles related to Data Analytics Certificate jobs in Colorado?

For Data Analytics Certificate jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Data Analytics Certificate jobs in Colorado look for?

The top searched job categories for Data Analytics Certificate jobs in Colorado are:

What cities in Colorado are hiring for Data Analytics Certificate jobs?

Cities in Colorado with the most Data Analytics Certificate job openings:

Data Analytics Certificate jobs near you
Infographic showing various Data Analytics Certificate job openings in Colorado as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $119,740 per year, or $57.6 per hour.

Data Analytics Lead

Primeritus Financial Services Inc

CO • On-site

Full-time

Posted yesterday

New

Job description

Primeritus Financial Services is a national provider of repossession management, remarketing, titled, and skip tracing services to the automotive finance industry in the United States and Puerto Rico. Primeritus provides clients with value-added, outsourced repossession management skip tracing investigations, and remarketing services by leveraging a national network of certified agents and unique investigative techniques to quickly and reliably secure customers’ collateral. Through effective leadership, service, and performance, Primeritus Financial Services offers the trifecta of repossession services: locate, recover, and remarket.
The Data Analytics Lead shapes how Primeritus uses data. This person architects our BI and analytics platform, teaches business users to think more broadly about their data and find their own answers, and leads a small reporting/analyst team. Success is measured less by the volume of analysis this person personally produces, and more by how well-equipped the business becomes to use data on its own — alongside a scalable analytics architecture and a growing team. This position is remote and open to candidates located in the Denver, CO; Dallas, TX; Nashville, TN; and Raleigh, NC markets.
Key Responsibilities
Data Education amp; Enablement
• Teach and coach business users on data best practices — how to frame the right questions, interpret results correctly, and avoid common analytical pitfalls.
• Help teams look more broadly at their data: encourage thinking beyond the immediate ask to underlying trends, context, and root causes.
• Build reusable frameworks, documentation, and training materials that raise the analytical maturity of the organization over time.
• Partner with product, analytics, and leadership teams to translate one-off questions into repeatable, self-service answers.
• Step in personally on complex or ambiguous analysis when needed, modeling best practice for others to learn from.
BI amp; Analytics Architecture
• Own the target-state vision for Primeritus's BI/analytics architecture and set the roadmap to get there.
• Design and evolve data models, reporting structures, and integrations that support product platforms, analytics, and regulatory requirements.
• Expand self-service analytics capabilities — including natural-language and AI-assisted query tools — so business users can access and explore their own data with less dependence on the BI team.
• Evaluate and recommend BI/analytics tooling and platform improvements as the business and data needs grow.
• Monitor, optimize, and troubleshoot reporting and data processing performance.
Leadership amp; Mentorship
• Lead a small team of reporting/analyst team members — providing direction, technical coaching, and career development.
• Review the team's analysis and reporting work for accuracy, clarity, and business relevance.
• Serve as the go-to technical authority on analytics and data-related decisions across product and technology teams.
Governance amp; Compliance
• Define and enforce data governance standards, including data quality, lineage, and metadata management.
• Ensure architecture and reporting practices support financial-industry compliance, security, privacy, and auditability requirements.
• Collaborate with security, risk, and compliance partners to embed controls into architecture and reporting.
Technical Skills amp; Capabilities
Core Technologies
• 8+ years of experience in BI development, data analysis, or analytics architecture.
• Strong expertise in TSQL, Power BI, and DAX; SSIS/SSAS experience a plus.
• Experience with Azure Data Services (ADF, Azure SQL Database, Synapse) or an equivalent cloud data platform.
• Solid understanding of data warehouse and reporting architecture.
• Experience resolving complex data quality and performance issues.
AI amp; Emerging Technology
• Experience using AI/LLM tools to accelerate analysis, reporting, or documentation (e.g., Copilot in Power BI, AI-assisted SQL or DAX generation).
• Understanding of how natural-language/AI query interfaces work over structured data, sufficient to architect, evaluate, and govern them.
• Comfort piloting and assessing emerging AI tooling for BI and self-service analytics, and separating real capability from hype.
Analytics, Communication amp; Teaching
• Ability to analyze large, complex datasets and translate them into meaningful, decision-ready insights.
• Strong reporting and visualization skills using Power BI, Power Apps, and Excel.
• Excellent written and verbal communication skills; able to explain technical concepts to non-technical audiences.
• Experience training, coaching, or upskilling business users on data literacy or analytical best practices.
• Demonstrated ability to tell clear, compelling stories from data.
Qualifications
Required
• Bachelor's or Master's degree in Computer Science, Statistics, Data Analytics, or a related field (or equivalent experience).
• 5+ years of experience developing analytics, data platforms, or decision-support solutions.
• Experience in financial services or another highly regulated industry.
• Experience mentoring or providing technical direction to reporting/analyst staff.
• Experience teaching or coaching non-technical business users on how to work with and interpret data.
Preferred
• Experience supporting product-led or platform-based organizations.
• Familiarity with cloud-native analytics ecosystems.
• Relevant cloud, data architecture, or analytics certifications.
Success Looks Like
• Business users ask sharper questions and think more broadly about their data, rather than relying solely on the BI team.
• Executives and business teams rely on trusted, timely, data-driven insight to guide decisions.
• The BI/analytics architecture scales with business growth and regulatory change.
• Business users increasingly self-serve data and answers, reducing ad hoc load on the BI team.
• The team members grow in capability and confidence under this person's mentorship.
Primeritus is an Equal Opportunity employer and all qualified applicants will receive consideration to employment without regard to race, color, religion, gender, pregnancy, sexual orientation, national origin, age, or protected veteran or disability status.

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