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Data Visualization Storytelling Jobs (NOW HIRING)

The AES Group

Data Visualization Engineer

Morristown, NJ · On-site

$117.80K - $141.50K/yr

Data Visualization Engineer Location: Morristown, NJ (Hybrid -- 3 days/week onsite) Let's create ... Translate business questions into effective visual stories and measurable metrics. * Choose ...

Chenega MIOS

Data Visualization Engineer

Redstone Arsenal, AL · Hybrid

$116.90K - $140.30K/yr

Strong creative and visual storytelling skills with an eye for design, usability, and user experience. * Use expert knowledge of data visualization tools to deliver information that allows client ...

Winaxis

Data Visualization Lead

Philadelphia, PA · On-site

... effective visual storytelling solutions. - Optimize rendering performance for large, complex ... data visualization to drive team innovation. - Utilize strong UI/UX skills to deliver compelling ...

BMO U.S.

Data Analytics and Visualization

Chicago, IL · On-site

The Data Analytics and Visualization role involves designing dashboards, analyzing data, and ... • Data storytelling. • Data mining. • Illustration. • Creative thinking. • Problem ...

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 ...

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All JobsData Visualization Storytelling Jobs

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 2, 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 Visualization Engineer

The AES Group

Morristown, NJ • On-site

$117.80K - $141.50K/yr

Contractor

Posted 24 days ago

Job description

Job Title: Data Visualization Engineer
Location: Morristown, NJ (Hybrid — 3 days/week onsite)

Let’s create our future together at The AES Group!

About The AES Group

The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.

We’re seeking a Data Visualization Engineer (6+ years) who blends strong BI engineering skills with design intuition to deliver interactive dashboards, insight-driven visual narratives, and high-performance reporting solutions. You’ll translate business questions into clear, trusted visual experiences, connect BI tools to modern data platforms, and optimize semantic layers and models so stakeholders can confidently make data-driven decisions.

What you’ll do
  • Build interactive dashboards, reports, and visualizations that communicate KPIs, trends, and insights clearly.
  • Translate business questions into effective visual stories and measurable metrics.
  • Choose appropriate chart types, design patterns, and interaction models for different audiences and use cases.
  • Connect BI tools to enterprise data sources (cloud warehouses, relational databases, APIs, flat files).
  • Develop and optimize data models, semantic layers, calculated metrics, and reusable measures.
  • Apply best practices in layout, color, typography, accessibility (WCAG), and UX to improve usability and adoption.
  • Define and maintain visualization standards, templates, and style guides for consistent delivery.
  • Improve dashboard performance through query tuning, caching strategies, incremental refresh, and efficient modeling.
  • Partner with data engineering teams to validate data quality, reliability, and documentation.
  • Enable self-service analytics through training, documentation, and reusable dashboard templates.
  • Perform peer reviews and provide technical guidance within the BI development environment.
Required qualifications
  • 6+ years of experience in data visualization, BI engineering, or a related field.
  • Expert-level proficiency in Power BI, Tableau, Looker, or Qlik Sense.
  • Strong SQL skills for querying, optimizing, and troubleshooting large datasets.
  • Solid understanding of BI data modeling concepts: star/snowflake schemas, relationships, aggregations, and semantic modeling.
  • Experience integrating BI tools with modern data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, or Amazon Redshift.
  • Strong grounding in data visualization principles, UX practices, and accessibility standards (WCAG).
  • Proven ability to convert requirements into polished, production-ready dashboards and reports.
  • Ability to work independently, manage multiple deliverables, and communicate proactively (consulting/contractor mindset).
Nice to have
  • Proficiency across multiple BI platforms (e.g., both Power BI and Tableau).
  • Python or R experience for data preparation, automation, or analytics integration.
  • Exposure to data governance, cataloging, metadata management, and BI CoE standards.
  • Familiarity with Git and CI/CD practices for BI development and deployment.
  • Experience in regulated industries (finance, healthcare, retail, government).
  • Relevant BI and/or cloud certifications.
Mandatory skills (quick summary)
  • BI platforms: Power BI / Tableau / Looker / Qlik Sense (expert)
  • SQL and large-scale data querying/optimization
  • BI data modeling: star/snowflake, semantic layers, aggregations, calculated metrics
  • Connectivity: Snowflake / Databricks / BigQuery / Azure Synapse / Redshift
  • Visualization + UX: hierarchy, color, typography, accessibility (WCAG), interactivity
  • Performance optimization: query tuning, caching, incremental refresh, efficient modeling
  • Requirements translation + stakeholder communication
  • Standards/governance: templates, style guides, reusable components
  • Data quality collaboration with engineering teams
  • Independent delivery across multiple priorities

Ready to make an impact? Apply now and join us on our journey!