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Data Analytics Teaching Jobs in Colorado (NOW HIRING)

Primeritus Financial Services Inc

CO

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 ...

NuView Analytics

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

... and teaching junior team members best practices and techniques * Ability to process data objectively and efficiently * Intellectually curious about new data tools and data analytics/science ...

NuView

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

... and teaching junior team members best practices and techniques * Ability to process data objectively and efficiently * Intellectually curious about new data tools and data analytics/science ...

Webhosting

Senior Data Engineer

Denver, CO · On-site

$155.37 - $186.44/hr

You'll promote and drive a self-service data culture by building easy to use analytics products and teaching the business users how to use them * You'll communicate progress, risks, and completion of ...

New

fotf

Sr. Data Engineer, Data Products

Colorado Springs, CO

$113K - $135K/yr

Partners with business stakeholders, engineers, and analysts to gather requirements, confirm data ... teaching them to observe all things that I have commanded you; and lo, I am with you always, even ...

fotf

Sr. Data Engineer, Data Products

Colorado Springs, CO

$113K - $135K/yr

Partners with business stakeholders, engineers, and analysts to gather requirements, confirm data ... teaching them to observe all things that I have commanded you; and lo, I am with you always, even ...

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Data Analytics Teaching information

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How much do data analytics teaching jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics teaching 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 data analytics teaching?

A Data Analytics Teaching job involves educating students or professionals on data analysis concepts, tools, and techniques. Instructors teach subjects like data visualization, statistical analysis, SQL, Python, and machine learning. They may work in universities, online platforms, or corporate training programs. Responsibilities include developing curriculum, designing hands-on exercises, and mentoring learners. Effective teaching requires both technical expertise and the ability to explain complex concepts clearly.

What are the key skills and qualifications needed to thrive in data analytics teaching?

To excel in Data Analytics Teaching, a solid background in data analysis, statistics, and instructional design—usually supported by an advanced degree in a quantitative field—is essential. Familiarity with tools such as Python, R, SQL, Tableau, and relevant certifications like Microsoft Certified: Data Analyst Associate or Certified Analytics Professional is common. Outstanding communication, patience, and the ability to simplify complex concepts are important soft skills for effectively engaging learners. These skills ensure instructors can deliver practical, accessible learning experiences that prepare students for real-world data roles.

What are some typical challenges faced by professionals teaching data analytics, and how can they be addressed?

Professionals teaching data analytics often encounter challenges such as varying levels of student proficiency, rapidly changing industry tools, and the need to illustrate real-world applications. To address these, instructors may develop adaptable teaching materials, incorporate hands-on projects, and stay current with industry developments through ongoing education or professional networks. Collaborating with industry partners for guest lectures and case studies can also help keep course content relevant and engaging. Being flexible and using a variety of teaching methods can ensure all students, regardless of background, are able to grasp key concepts.

What are the most commonly searched types of Data Analytics Teaching jobs in Colorado?

The most popular types of Data Analytics Teaching jobs in Colorado are:

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

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

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

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

Data Analytics Teaching jobs near you
Infographic showing various Data Analytics Teaching job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $119,740 per year, or $57.6 per hour.

Data Analytics Lead

Primeritus Financial Services Inc

CO

Full-time

Posted 14 days ago

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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