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Data Visualization Storytelling Jobs (NOW HIRING)

4pconsultinginc

Data Visualization Engineer I

Birmingham, AL · On-site

$107.30K - $128.90K/yr

Position: Data Visualization Engineer I Duration: 12 Months Location: 3535 Colonnade Parkway ... This role combines analytical thinking, technical capability, and visual storytelling to transform ...

Staffworks Inc

Data Analyst

Southington, CT · Hybrid

Experience with Tableau (dashboard creation, data visualization, storytelling) * Ability to simplify complex data into clear, concise takeaways * Highly organized with the ability to manage multiple ...

Steampunk

Data Visualization Engineer

Mclean, VA · On-site

$110K - $160K/yr

We are looking for more than just a "Data Visualization Engineer", but a technologist with ... If you want to learn more about our story, visit We are an equal opportunity employer and all ...

Steampunk

Data Visualization Engineer

Mclean, VA

$110K - $160K/yr

We are looking for more than just a "Data Visualization Engineer", but a technologist with ... If you want to learn more about our story, visit We are an equal opportunity employer and all ...

Steampunk

Data Visualization Engineer

Mclean, VA · On-site

$110K - $160K/yr

We are looking for more than just a "Data Visualization Engineer", but a technologist with ... If you want to learn more about our story, visit We are an equal opportunity employer and all ...

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Data Visualization Storytelling information

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$54K

$109.5K

$161.5K

How much do data visualization storytelling jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data visualization storytelling in the United States is $109,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 per year, depending on experience, location, and employer.

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

To thrive in Data Visualization Storytelling, you need a strong grasp of data analysis, visual design principles, and an understanding of narrative structure, often supported by a degree in data science, design, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as familiarity with data management systems, is commonly required. Creativity, critical thinking, and effective communication are crucial soft skills for translating complex information into compelling visual narratives. These skills are vital for conveying insights clearly, enabling informed decision-making, and engaging diverse audiences.

How does a Data Visualization Storytelling professional typically collaborate with other teams within an organization?

Data Visualization Storytelling professionals often work closely with data analysts, subject matter experts, and decision-makers to transform complex data into compelling visual narratives. They participate in cross-functional meetings to understand project goals and ensure that the visualizations align with business objectives. Collaboration with IT or data engineering teams is common to access reliable data sources, while feedback from stakeholders helps refine the story and presentation. Effective communication and teamwork are essential for delivering insights that drive informed decision-making.

What is data visualization storytelling?

Data visualization storytelling is the practice of using visual elements like charts, graphs, and infographics to convey data insights in a compelling narrative format. It goes beyond just presenting numbers by weaving together context, visuals, and narrative to help audiences understand complex data and make informed decisions. Effective data storytelling makes information accessible, memorable, and actionable for both technical and non-technical stakeholders.

What is the difference between Data Visualization Storytelling vs Data Analyst?

AspectData Visualization StorytellingData Analyst
Primary FocusCreating visual narratives to communicate insightsAnalyzing data to identify trends and patterns
SkillsData visualization, storytelling, communicationData analysis, statistical skills, Excel, SQL
ToolsTableau, Power BI, storytelling platformsExcel, SQL, Python, R
Work EnvironmentMarketing, media, consulting firmsBusiness, finance, healthcare sectors

While both roles involve working with data, Data Visualization Storytelling emphasizes crafting compelling visual narratives to communicate insights effectively. Data Analysts focus more on analyzing raw data to uncover trends and support decision-making. The roles often overlap but differ mainly in their end goals: storytelling versus detailed analysis.

More about Data Visualization Storytelling jobs
What job categories do people searching Data Visualization Storytelling jobs look for? The top searched job categories for Data Visualization Storytelling jobs are:
Data Visualization Storytelling jobs near you
Infographic showing various Data Visualization Storytelling job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $109,451 per year, or $52.6 per hour.

Data Analytics and Visualization

BMO U.S.

Milwaukee, WI • On-site

Full-time

Posted 2 days ago

BMO U.S. rating

8.6

Company rating: 8.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

22nd of 141 rated banks

Job description

Job Summary:
BMO U.S. is committed to creating lasting, positive change for its customers and communities. The Data Analytics and Visualization role involves designing dashboards, analyzing data, and providing insights through visualization techniques while collaborating with various teams to enhance data usability and aesthetics.
Responsibilities:
• Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
• Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
• Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
• Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
• Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
• Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.
• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
• Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.
• Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.
Qualifications:
Required:
• Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Deep knowledge and technical proficiency gained through extensive education and business experience.
• Technical design optimization.
• Decision Making.
• Systems Thinking.
• Data visualization.
• Data storytelling.
• Data mining.
• Illustration.
• Creative thinking.
• Problem Solving.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.
• Data driven decision making.
• Insights design.
• Insights development and reporting.
Company:
We’re a bank, but there’s more to it than that. We're a top ten bank in North America and have been serving our customers since 1817. Founded in 1882, the company is headquartered in Chicago, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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