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Data Storyteller Jobs in Colorado (NOW HIRING)

Data Manager

Denver, CO · On-site

$30.67/hr

Use data visualization tools to track and report on all organizational programs, giving staff and directors access to data that informs decision-making and telling a story to our base, staff, donors ...

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 ...

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 ...

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 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 ...

Data Analytics Specialist

Denver, CO · On-site

$90K - $120K/yr

Apply and promote best practices in data visualization, dashboard design, accessibility, and storytelling with data. * Perform exploratory and diagnostic analyses that help drive process improvements ...

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

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 ...

Senior Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

Collaborate with Information Engineers, designers, and data scientists to deliver engaging data stories, visualizations, and user interfaces that serve organizational goals. * Write and maintain ...

Senior Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

Collaborate with Information Engineers, designers, and data scientists to deliver engaging data stories, visualizations, and user interfaces that serve organizational goals. * Write and maintain ...

Showing results 21-40

Data Storyteller information

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How much do data storyteller jobs pay per hour?

As of Aug 26, 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:

What job categories do people searching Data Storyteller jobs in Colorado look for?

The top searched job categories for 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 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $84,626 per year, or $40.7 per hour.

Data Analyst - Supply Chain

Centennial, CO • On-site

Thinkfind Corporation
IT Services • 1 - 10 employees

$45 - $50/hr

Contractor

Re-posted 21 days ago


Job description

Thinkfind is seeking a Senior Analyst, Delivery Support Analytics to support healthcare consulting engagements by transforming complex supply cost, utilization, and clinical data into clear, actionable insights.
Job Details:
  • This role plays a critical role in identifying cost savings, reducing unwarranted clinical variation, and supporting data-driven decision-making across Physician Preference Items (PPI) and Med-Surg service lines.
  • The analyst partners closely with consultants and internal stakeholders to ensure analytical outputs are accurate, timely, and aligned with client delivery priorities.
  • This is a hands-on analytical role that goes beyond report creation.
  • The Senior Analyst applies judgment, context, and storytelling to help consultants and healthcare leaders understand what the data is actually saying and what actions are worth pursuing.
  • Responsibilities include benchmarking, gap analysis, pricing and contract review, utilization analysis, opportunity identification, and presentation development.
  • The role also contributes to improving analytical standards, documentation, and repeatability while informally mentoring junior analysts.

Requirements:
  • This position requires 5+ years of experience in data analytics, preferably in healthcare, supply chain, consulting, or a related analytical environment.
  • Strong proficiency in Microsoft Excel (advanced formulas, pivot tables; macros a plus) and PowerPoint a must.
  • Demonstrated ability to analyze complex datasets and translate findings into clear, actionable insights.
  • Strong written and verbal communication skills, with the ability to tailor messaging to technical and non-technical audiences required.
  • Proven ability to manage multiple priorities and deliver high-quality work under tight timelines.
  • Strong analytical thinking, attention to detail, and problem-solving skills are essential.
  • Strongly prefer experience working with healthcare supply cost, utilization, or clinical data related to Physician Preference Items (including Surgical Services) and/or Med-Surg service lines.
  • Familiarity with service line analytics supporting savings identification, utilization optimization, and standardization initiatives.
  • Experience with SQL, Access, or other data query tools.
  • Experience supporting consulting, delivery, or client-facing teams.
  • Bachelor’s degree in a relevant field (e.g., analytics, business, healthcare, economics); advanced degree a plus.