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Data Visualization Jobs in Colorado (NOW HIRING)

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

... visualization tools (e.g., Tableau, Power BI) • Familiarity with big data technologies (e.g., Hadoop, Spark) • Experience with data cleaning and preprocessing Preferred : • Experience with ...

Modivcare, Inc.

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

The Data Insights Analyst is responsible for analyzing complex data sets to generate meaningful ... Visualization & Reporting : Develop dashboards and reports using tools such as Tableau, Power BI ...

KPMG LLP

Data Analyst

Denver, CO · On-site +1

Responsibilities: • Collect, clean, and validate large data sets from various sources • Analyze data using statistical techniques and data visualization tools to identify trends, patterns, and ...

New

Cymertek Corporation

Data Modeler

Aurora, CO · On-site

$55.50 - $72/hr

... visualization tools (e.g., Tableau) • Experience with data modeling for machine learning • Understanding of data privacy and compliance regulations • Ability to optimize data models for ...

Ra

Data Scientist

Denver, CO

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer ...

Ra

Data Analyst

Denver, CO

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer ...

Cymertek Corporation

Big Data Engineer

Aurora, CO · On-site

$56.50 - $74.75/hr

... visualization techniques • Knowledge of emerging big data technologies Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...

MM International

Data Validation Engineer

Denver, CO · On-site

Expertise in data visualization and QA dashboards (Tableau, OpenSearch). - MUST * Experience testing across connected devices (iOS, Android, Roku, Apple TV, SamsungTV) is plus * Familiarity with Git ...

Leidos

Data Engineer

Colorado Springs, CO · 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 ...

New

Prologis

Program Director, Data & Analytics

Denver, CO · On-site +1

You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring teams deliver trusted, scalable data products that enable smarter, faster ...

ICR, Inc.

Data Scientist - Aurora, CO

Aurora, CO

$78K - $236K/yr

Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or Matlab. * Exceptional analytical skills and problem solving skills. * Willingness to learn new skills and ...

Airswift

Data Analyst II

Denver, CO · On-site

Key Responsibilities Data Analysis & Insights * Extract, analyze, and interpret complex datasets to ... Dashboard Development & Visualization * Build, maintain, and enhance Power BI and/or Spotfire ...

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All JobsData Visualization JobsData Visualization Jobs in Colorado

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.
More about Data Visualization jobs
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 are popular job titles related to Data Visualization jobs in Colorado? For Data Visualization jobs in Colorado, the most frequently searched job titles 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:
Data Visualization jobs near you
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.
Data Scientist

Data Scientist

Cymertek Corporation

Aurora, CO • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Cymertek Corporation is a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development. They are seeking a talented Data Scientist to join their team and play a pivotal role in analyzing, modeling, and transforming data into actionable solutions.
Responsibilities:
• Analyze and interpret complex data
• Develop predictive models
• Communicate data findings clearly
• Design and implement algorithms
• Ensure data quality and integrity
• Collaborate with cross-functional teams
Qualifications:
Required:
• Bachelor's Degree
• Proficiency in data manipulation tools (e.g., Python, R)
• Experience with machine learning techniques
• Strong statistical analysis skills
• Knowledge of data visualization tools (e.g., Tableau, Power BI)
• Familiarity with big data technologies (e.g., Hadoop, Spark)
• Experience with data cleaning and preprocessing
Preferred:
• Experience with cloud platforms (e.g., AWS, GCP)
• Knowledge of deep learning techniques
• Expertise in natural language processing (NLP)
• Understanding of database management systems
• Experience in deploying models to production
• Strong problem-solving and critical thinking abilities
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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