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Analytics Engineer Jobs in Colorado (NOW HIRING)

Guild

Analytics Engineer

Denver, CO · On-site

$110K - $159K/yr

Guild is hiring an Analytics Engineer who will sit at the intersection of data, AI, infrastructure, and analytics, to help shape and deliver valuable data and business-critical reporting and insights ...

Trimble

Data/Analytics Engineer

Westminster, CO

$122K - $168K/yr

Data/Analytics Engineer Job Location: Westminster CO, or Christchurch NZ Our Department: Field Systems Data/Analytics Engineer - Customer 360 Data Pipelines About the Team: The Field Systems Data ...

Guild

Analytics Engineer

Denver, CO · On-site

$110K - $159K/yr

Guild is hiring an Analytics Engineer who will sit at the intersection of data, AI, infrastructure, and analytics, to help shape and deliver valuable data and business-critical reporting and insights ...

BillGO, Inc.

Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

We are looking for an Analytics Engineer to join our growing data team and help transform payments data into reliable, scalable, and actionable insights. Sitting at the intersection of data ...

BillGO, Inc.

Data Analytics Engineer

Fort Collins, CO

$102K - $146K/yr

We are looking for an Analytics Engineer to join our growing data team and help transform payments data into reliable, scalable, and actionable insights. Sitting at the intersection of data ...

Zayo

Data Analytics Engineer

Denver, CO · Remote

$77K - $118K/yr

We're looking for an Analytics Engineer to join our Network Data Solutions team. In this role, you will combine deep telecom data expertise with technical acumen and problem-solving skills to design ...

Orchard

Senior Analytics Engineer

Denver, CO · On-site +1

$135K - $180K/yr

About the Role Orchard is looking for a Senior Analytics Engineer to help rebuild how the business gets answers from its data. We're moving from a sprawling Looker footprint to a set of certified ...

Orchard

Senior Analytics Engineer

Denver, CO · On-site

$135K - $180K/yr

About the Role Orchard is looking for a Senior Analytics Engineer to help rebuild how the business gets answers from its data. We're moving from a sprawling Looker footprint to a set of certified ...

Trimble

Marketing Analytics Engineer

Westminster, CO · On-site

$105K - $145K/yr

Transform the Future of B2B Marketing as our Marketing Analytics Engineer Are you a technical powerhouse ready to bridge the gap between complex data engineering and high-impact marketing strategy?

Checkr

Senior Analytics Engineer, Finance

Denver, CO · On-site

$112K - $152K/yr

Reporting to the Data Engineering Manager, the Senior Analytics Engineer (Finance) will be the dedicated data partner for Checkr's Finance organization, owning the models, pipelines, and governance ...

PTMA Financial Solutions

Data Analytics Engineer

Denver, CO · On-site

$117K - $141K/yr

The Data Analytics Engineer is responsible for delivering business-facing analytics in a regulated financial services environment, focusing on enterprise KPIs, reporting, and collaboration with ...

CommonSpirit Health

SSRM Data Analytics Engineer

Englewood, CO · Remote

$113K - $135K/yr

Job Summary and Responsibilities Job Summary / Purpose The SSRM Data Analytics Engineer serves as the intersection of the supply chain business aspects, data analytics, and data engineering, and is ...

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Analytics Engineer information

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Colorado? The most popular types of Analytics Engineer jobs in Colorado are:
What are popular job titles related to Analytics Engineer jobs in Colorado? For Analytics Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Colorado look for? The top searched job categories for Analytics Engineer jobs in Colorado are:
What cities in Colorado are hiring for Analytics Engineer jobs? Cities in Colorado with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Colorado as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Analytics Engineer

Analytics Engineer

Guild

Denver, CO • On-site

$110K - $159K/yr

Other

Posted 3 days ago

Job description

Guild is hiring an Analytics Engineer who will sit at the intersection of data, AI, infrastructure, and analytics, to help shape and deliver valuable data and business-critical reporting and insights for Guild. You will be responsible for organizing, standardizing, and analyzing our data to enable Guild's Analytical efforts. This role will have a critical impact on the business and our students by surfacing valuable data and providing insight into opportunities for improvement across all aspects of our business.

Responsibilities
  • Develop, maintain, and deeply understand core data models and curated datasets that support reporting, AI, and advanced analytics use cases, effectively communicating their structure and purpose to enable broad access to trusted data.
  • Develop a deep understanding of business and operational needs by building strong relationships across the teams who manage and use Guild's data.
  • Perform in-depth data QA by diving into various data sources to identify and resolve issues.
  • Efficiently execute on assigned projects and requests from business partners, proactively communicating progress, timelines, and any challenges to manage stakeholder expectations for delivery.
  • Translate business questions into technical requirements as part of a well-defined development cycle.
  • Act as subject matter expert for Looker/Omni infrastructure and content, supporting team members in troubleshooting issues that arise.
  • Implement and maintain robust governance and oversight processes to ensure accuracy and continuity of critical data sources and reporting.
Experience
  • 3+ years of full-time work experience as an analytics engineer, data analyst, BI analyst, data engineer or similar.
  • Experience designing, developing, and maintaining core data models that support a range of downstream use cases, including reporting, self-service analytics, and AI/ML applications.
  • Hands-on experience with modern data transformation frameworks (e.g., dbt or similar tools), including building scalable models, managing dependencies, and scheduling reliable data pipelines.
  • Strong understanding of data modeling best practices and modeling layers (e.g., staging, intermediate, marts), with a focus on maintainability, performance, and long-term extensibility of the analytics layer.
  • Hands-on experience with data model development and reporting in data visualization tools such as Looker, Omni or Tableau.
Additional information
  • Highly skilled in SQL, and some experience in a scripting language (e.g. Python, R).
  • Demonstrated attention to detail and commitment to data quality and reporting accuracy.
  • Analytical, intellectually curious, creative problem-solver who is comfortable going beyond data access to analytics and strategic insights.
  • Keen design and data visualization skills - you know how to transform data to generate useful insights and be easily digestible.
  • In-depth understanding and application of Data Engineering standard processes.
  • Teammate approach, with strong interpersonal and influencing skills.
  • Passion for our mission - Guild is pioneering a new path for career development as a benefit in a complicated and regulated space - success means quickly and effectively adapting your expertise.

We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $110,000 - $159,000 and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity.
Posting Date: 6/3/2026
*This role will stay open for a minimum of 3 days.

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