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Data Analytics Developer Jobs in Colorado (NOW HIRING)

CoorsTek

Manager Data Platform Engineering

Golden, CO · On-site

You will work cross-functionally with business stakeholders, data engineering, analytics teams, and IT leadership to guide platform direction, drive best practices, and ensure strong user adoption.

Ibotta

Data Science Manager, Marketing Analytics

Denver, CO · Hybrid

$158K - $185K/yr

The Role This is a player/coach role that will lead the data science and analytics engineering functions within the Marketing Analytics team, while driving innovative solutions using machine learning ...

Ibotta

Data Science Manager, Marketing Analytics

Denver, CO · On-site

$158K - $185K/yr

The Role This is a player/coach role that will lead the data science and analytics engineering functions within the Marketing Analytics team, while driving innovative solutions using machine learning ...

Pwc

Data Engineer - Manager

Denver, CO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Deloitte

Data Product Analyst

Denver, CO · On-site

Experience working in cross-functional products, analytics, engineering, and QA environments. * Experience conducting product experiments and user or market research. * Experience maintaining data ...

Deloitte

People Data & Analytics Senior Consultant

Denver, CO · On-site

$93K - $118K/yr

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Engineering, or Business * 4+ years of hands-on experience in Consulting or an equivalent role ...

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All JobsData Analytics Developer JobsData Analytics Developer Jobs in Colorado

Data Analytics Developer information

See Colorado salary details

$25

$57

$99

How much do data analytics developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data analytics developer 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 the difference between Data Analytics Developer vs Data Analyst?

AspectData Analytics DeveloperData Analyst
Required SkillsSQL, programming, data modeling, visualization toolsExcel, SQL, basic statistics, visualization
CertificationsData analytics, programming certificationsExcel, Tableau, Power BI certifications
Work EnvironmentDevelops data tools, pipelines, and dashboardsAnalyzes data, creates reports, interprets findings
Industry UsageTech, finance, healthcare, where data tools are neededBusiness, marketing, finance, where insights are required

While both roles work with data, Data Analytics Developers focus on building data systems and tools, whereas Data Analysts interpret data to provide insights. The roles often overlap but differ mainly in technical development versus analysis and reporting.

What are some common challenges Data Analytics Developers face when integrating new data sources into existing analytics platforms?

Data Analytics Developers often encounter challenges such as data inconsistency, varying data formats, and incomplete documentation when integrating new sources. Ensuring data quality and compatibility with existing pipelines requires close coordination with data engineers and source system owners. Additionally, they must balance the need for rapid integration with maintaining data security and compliance standards. Overcoming these challenges typically involves thorough data profiling, robust ETL processes, and proactive communication across teams.

What does a Data Analytics Developer do?

A Data Analytics Developer is responsible for designing, developing, and implementing data analysis tools and solutions. They work with large datasets to extract insights, create data models, and build dashboards or reports that help organizations make data-driven decisions. Their role often involves collaborating with data scientists, business analysts, and IT teams to ensure data accuracy, performance, and security. They typically use programming languages like Python or SQL and may work with business intelligence platforms such as Tableau or Power BI.

What are the key skills and qualifications needed to thrive as a Data Analytics Developer, and why are they important?

To thrive as a Data Analytics Developer, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid background in statistics or mathematics, typically supported by a relevant degree. Experience with data visualization tools (such as Tableau or Power BI), SQL, and cloud-based analytics platforms, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this field. These skills ensure accurate data analysis, actionable insights, and successful collaboration with stakeholders to drive data-informed decision-making.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are less likely to be fully replaced by AI in the near future.
What are popular job titles related to Data Analytics Developer jobs in CO? For Data Analytics Developer jobs in CO, the most frequently searched job titles are:
Data Analytics Developer jobs near you
Infographic showing various Data Analytics Developer job openings in Colorado as of May 2026, with employment types broken down into 3% As Needed, 85% Full Time, 9% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $119,740 per year, or $57.6 per hour.
Manager Data Platform Engineering

Manager Data Platform Engineering

CoorsTek

Golden, CO • On-site

Full-time

Posted 15 days ago

CoorsTek rating

8.1

Company rating: 8.1 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

Job description

It's exciting to work for a company that makes the world measurably better.

We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing.

Job Title

Manager Data Platform EngineeringAs the Data Platform Engineering Manager (Governance & Quality), you will lead the strategy, stability, governance, and adoption of the organization's modern data platform. In this role, you will be responsible for ensuring the data ecosystem supports scalable, reliable, and business-impacting analytics capabilities. You will work cross-functionally with business stakeholders, data engineering, analytics teams, and IT leadership to guide platform direction, drive best practices, and ensure strong user adoption. This is a playercoach role that blends platform architecture oversight, operational ownership, and enablement of selfservice analytics across the organization.

Roles & Responsibilities:
Platform Strategy & Architecture

  • Execute and deliver against the data platform roadmap aligned to business and analytics strategy. Contribute to and implement architectural decisions related to data ingestion, transformation, modeling patterns, Lakehouse architecture, medallion design, and Semantic and consumption layer strategy across Power BI and Sigma.
  • Ensure platform scalability, performance, cost optimization, and future-readiness.
  • Provide strong input for and introduce new platform capabilities, tooling, and automation to improve platform maturity.

Platform Stability & Operations

  • Manage platform reliability, availability, and performance monitoring.
  • Establish and manage SLAs / SLOs for data pipelines and analytics workloads, incident management and root cause processes, platform governance, security, and access patterns.
  • Partner with infrastructure / cloud teams and provide input on environment strategy, workspace management, cost visibility and optimization.
  • In coordination with Data & Analytics leadership, ensure data platform production readiness standards for data products and pipelines.

Adoption & Enablement

  • Support adoption of the data platform and self-service analytics capabilities
  • Define standards for data product design, dashboard and analytics development, documentation and discoverability. Lead user enablement initiatives such as training programs, office hours and community of practice, analytics governance forums.
  • Partner with business teams to identify high-value use cases and accelerate delivery.

Team Leadership & Delivery

  • Lead and develop a team of data engineers, analytics engineers, or platform specialists.
  • Establish delivery frameworks and prioritization processes.
  • Promote modern engineering practices including CI/CD for data pipelines, Testing and observability, Agile / product-oriented operating models.
  • Collaborate closely with Data & Analytics leadership to ensure platform investments drive measurable business outcomes.

Job Requirements:

Education and Experience:

  • Bachelor's degree in Engineering, Computer Science, Data Science or Information systems or equivalent work experience.

  • 7+ years of experience in data engineering, analytics engineering, or data platform leadership.
  • 3+ years of experience leading technical teams.

Functional/Technical Knowledge, Skills & Abilities:

    • Hands-on experience with Databricks / Lakehouse architectures.
    • Strong familiarity with modern BI and semantic consumption patterns (Power BI, Sigma, or similar).
    • Experience managing production data platforms in cloud environments (Azure, AWS, or GCP).
    • Proven ability to drive platform adoption and organizational change.
    • Strong stakeholder engagement and communication skills.

    Preferred Qualifications & Experience:

    • Experience in manufacturing, industrial, or operational analytics environments.
    • Knowledge of data governance frameworks and data product operating models.
    • Experience with cost optimization and FinOps practices in analytics platforms.
    • Familiarity with orchestration tools, data ingestion tooling, and modern ELT patterns.
    • Exposure to machine learning platform enablement or MLOps.

    Additional Position Details:

    • Location: Golden, CO (on-site)
    • Work Authorization: Requires U.S. Person status (U.S. citizen, a Green Card holder, or a protected refugee/asylee)

    Target Hiring Range

    Annual Salary: USD 128,555.00 - USD 176,763.00

    Actual compensation is commensurate with experience, skills and education. CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation.

    If you like working for a company that makes a real difference in the world, you'll enjoy your career with us!

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