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Data Visualization Jobs in Colorado (NOW HIRING)

Principal Data Engineer

Boulder, CO ยท On-site

$120K - $165K/yr

Experience with NoSQL databases, Kafka Connect, Kafka Streams, Superset for data visualization * Knowledge of integrating real-time machine learning models into streaming environments * Expertise ...

3D Visualization Specialist

Denver, CO ยท On-site

$77K - $112K/yr

Prepare and clean up project data from CAD, BIM, GIS, terrain, aerial imagery, point clouds, sketches, and engineering drawings for use in visualization workflows. * Build accurate existing and ...

Data Engineer

Aurora, CO ยท On-site

$107K - $195K/yr

Experience with data visualization tools such as Grafana, Apache Superset, Tableau, and Power BI * U.S. Citizen Preferred Qualifications * Current/active DoD Secret Clearance * Advanced technical ...

Data Engineer

Colorado Springs, CO ยท On-site

$107K - $195K/yr

Experience with data visualization tools such as Grafana, Apache Superset, Tableau, and Power BI * U.S. Citizen Preferred Qualifications * Current/active DoD Secret Clearance * Advanced technical ...

Data Engineer

Denver, CO ยท On-site

$107K - $195K/yr

Experience with data visualization tools such as Grafana, Apache Superset, Tableau, and Power BI * U.S. Citizen Preferred Qualifications * Current/active DoD Secret Clearance * Advanced technical ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

User Engagement Specialist

Denver, CO ยท On-site

$95K - $120K/yr

Take ownership of curating user documentation and maintaining OT data visualization dashboards, ensuring data accuracy following new feature deployments. * 90 Days: Foster active community engagement ...

User Engagement Specialist

Denver, CO ยท On-site +1

$38K - $44K/yr

Maintain Data Visualization Dashboards: Ensure continuity of results and data accuracy following the deployment of new features or functionality. What You Bring Required Qualifications: * Experience:

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Showing results 1-20

Data Visualization information

See Colorado salary details

$56.8K

$115.1K

$169.8K

How much do data visualization jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data visualization in Colorado is $115,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

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

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What are the most commonly searched types of Data Visualization jobs in Colorado? The most popular types of Data Visualization jobs in Colorado are:
What job categories do people searching Data Visualization jobs in Colorado look for? The top searched job categories for Data Visualization jobs in Colorado are:
What cities in Colorado are hiring for Data Visualization jobs? Cities in Colorado with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $115,089 per year, or $55.3 per hour.
Drilling & Completions Data Analyst II

Drilling & Completions Data Analyst II

The Bergaila Companies

Denver, CO โ€ข On-site

Other

Posted 12 days ago


Job description

Exciting Opportunity for Experienced Drilling & Completions Data Analyst II in Denver, CO!


Join a dynamic team supporting innovative upstream oil & gas operations in the heart of Denver! Weโ€™re seeking a skilled Drilling & Completions Data Analyst II to play a pivotal role in transforming complex data into actionable insights. This is your chance to work at the forefront of the energy industry, leveraging your analytical expertise to drive operational efficiency, optimize well delivery, and support strategic decision-making.


In this critical role, you will partner closely with Drilling & Completions, Operations, and Engineering teams to develop robust dashboards, automate processes, and deliver high-quality data solutions that directly impact business outcomes. If you thrive in a fast-paced, data-driven environment and have a passion for oil & gas operations, we want to hear from you!


Required Skills:

  • 3+ years of professional experience as a Data or Business Intelligence Analyst
  • 2+ years of hands-on experience with complex SQL development, including CTEs, subqueries, joins, window functions, and data modeling
  • 2+ years of experience building and managing Power BI and/or Spotfire dashboards
  • Strong understanding of relational databases and data visualization best practices
  • Proficiency in Excel for data analysis
  • Ability to work independently and communicate complex findings effectively


Nice to Have Skills:

  • Knowledge of upstream oil & gas metrics and operations
  • Experience with OpenWells, Landmark, or PPDM-based systems
  • Programming skills in Python or R for advanced analytics
  • Familiarity with Microsoft Power Platform (Power Automate, Power Apps)
  • Experience with cloud platforms such as Azure or AWS
  • Knowledge of data version control (Git, Azure DevOps)


Preferred Education and Experience:

  • Bachelorโ€™s Degree in Engineering, Computer Science, Data Science, Finance, or a related field
  • 3+ years supporting operations or engineering teams in a data-centric environment


Other Requirements:

  • Ability to work a hybrid schedule in downtown Denver, CO (Tuesday-Thursday in-office, remainder remote). This position is open to local candidates only!
  • Experience with drill and completions data, operational KPIs, and asset hierarchies is highly desirable
  • Must have or be willing to obtain relevant certifications as appropriate


Ready to make a measurable impact on upstream operations through your data expertise? Apply now and become an integral part of a forward-thinking team driving innovation in oil & gas!