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Data Storyteller Jobs in Colorado (NOW HIRING)

Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib. * Excellent technical communication skills, with the ability to explain complex concepts to non ...

Data Analytics Manager

Denver, CO · On-site

$140K - $149K/yr

OUR STORY TechInsights is the information Platform for the semiconductor industry. Regarded as the ... Our Data & Analytics team is committed to transforming data into readable, goal-oriented insights ...

OUR STORY TechInsights is the information Platform for the semiconductor industry. Regarded as the ... Our Data & Analytics team is committed to transforming data into readable, goal-oriented insights ...

Data Analyst

Denver, CO

$120K - $150K/yr

We stay curious about our contractors' craft and the stories of our homeowners. * Win, as a team ... Today our data lives in a lot of places: HubSpot, PostHog, our platform, spreadsheets, and program ...

New

Data Engineer, Principal

Denver, CO · On-site

$117.10 - $130.87/hr

Collaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable outcomes. * Support integration of AI/ML‑ready data assets, ensuring data is ...

Showing results 41-60

Data Storyteller information

See Colorado salary details

$14

$40

$96

How much do data storyteller jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data storyteller in Colorado is $40.69, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $48.27 per hour, depending on experience, location, and employer.

What is a data storyteller?

A Data Storyteller translates complex data into clear, engaging narratives that drive decision-making. They blend data analysis, visualization, and storytelling techniques to communicate insights effectively to diverse audiences. This role requires proficiency in data tools, storytelling frameworks, and an understanding of business objectives. Data Storytellers help stakeholders grasp key trends, patterns, and implications, making data more actionable.

What types of projects or deliverables can I expect to work on as a data storyteller?

As a Data Storyteller, you will typically create engaging data visualizations, interactive dashboards, and presentation materials that communicate key insights to stakeholders. You may work on projects such as analyzing customer trends, measuring campaign effectiveness, or identifying operational efficiencies, translating technical findings into actionable business recommendations. Collaboration is common, as you'll regularly partner with data analysts, marketers, product managers, and executives to ensure your narratives align with organizational goals. This role offers a dynamic blend of analytical responsibilities and creative communication, providing opportunities to influence decision-making across various departments.

What are the key skills and qualifications needed to thrive in the data storyteller position, and why are they important?

To thrive as a Data Storyteller, you need a strong background in data analysis, visualization, and narrative framing, often supported by a degree in data science, statistics, or a related field. Familiarity with technical tools like Tableau, Power BI, Excel, and programming languages such as Python or R is highly beneficial, and certifications in data visualization or analytics are advantageous. Exceptional communication, creativity, and the ability to tailor complex information for non-technical audiences are critical soft skills. These competencies are essential for transforming raw data into compelling insights that drive informed business decisions.

How much do data storytellers make?

Data storytellers typically earn between $60,000 and $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data visualization tools and storytelling techniques tend to command higher salaries.

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

The most popular types of Data Storyteller jobs in Colorado are:

Infographic showing various Data Storyteller 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 $84,626 per year, or $40.7 per hour.

Data Scientist

Agile Defense

Colorado Springs, CO • On-site

Full-time

Re-posted 17 days ago


Job description

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition #: 1590

Job Title: Data Scientist

Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL

Clearance Level: Top Secret with the ability to obtain an SCI, Must Have Clearance to Start

Job Descripton
Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
 
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
 
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.
Education and Background
A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience
Required Skills
  • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
  • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark
Preferred Skills
  • Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
  • Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
  • Strong understanding of data validation, model testing, and performance evaluation techniques.
  • Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
  • Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
Working Conditions
Requires work onsite in a SCIF
Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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