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Director Data Visualization Tableau Jobs (NOW HIRING)

Data Visualization Engineer

Morristown, NJ · On-site

$117K - $141K/yr

Data Visualization Engineer Location: Morristown, NJ (Hybrid -- 3 days/week onsite) Let's create ... Expert-level proficiency in Power BI, Tableau, Looker, or Qlik Sense . * Strong SQL skills for ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... Visualization (Tableau, Looker, Power BI, etc.

The Data Visualization Specialist supports Public Health programs by transforming complex health ... Proficiency with visualization and analytics tools such as Tableau, Power BI, SAS, Python, and R.

New

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... Visualization (Tableau, Looker, Power BI, etc.) Employment Type: FULL_TIME

Provide rapid-response data analysis and visualization to support urgent business questions or ... Tableau Mastery: Advanced proficiency is mandatory. Candidates must demonstrate deep experience in ...

Demonstrate strong knowledge of data visualization principles, data administration, and information ... Proficiency in business intelligence platforms (e.g., Tableau, Power BI, Envision), data analytical ...

New

Provide rapid-response data analysis and visualization to support urgent business questions or ... Tableau Mastery: Advanced proficiency is mandatory. Candidates must demonstrate deep experience in ...

Provide rapid-response data analysis and visualization to support urgent business questions or ... Tableau Mastery: Advanced proficiency is mandatory. Candidates must demonstrate deep experience in ...

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Showing results 1-20

Director Data Visualization Tableau information

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$54K

$109.5K

$161.5K

How much do director data visualization tableau jobs pay per year?

As of Jul 19, 2026, the average yearly pay for director data visualization tableau 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.

How does a Director of Data Visualization specializing in Tableau typically interact with cross-functional teams to drive data-driven decision making?

A Director of Data Visualization using Tableau often collaborates closely with data engineers, business analysts, and executive leadership to understand business goals and translate complex data sets into actionable insights. They lead the development of dashboards and visual reports, ensuring that stakeholders can easily interpret and leverage data for decision making. Regular meetings and workshops with various departments are common, fostering a culture of data literacy and continuous feedback to refine visualization strategies. This role also involves mentoring team members and setting best practices for data storytelling within the organization.

What does a Director of Data Visualization (Tableau) do?

A Director of Data Visualization (Tableau) leads teams in designing, developing, and implementing data dashboards and visual analytics using Tableau. They set the strategic direction for how data is translated into insights, ensuring stakeholders can make data-driven decisions efficiently. This role typically oversees data visualization standards, collaborates across departments, and manages complex data projects. Directors also mentor staff, evaluate new technologies, and ensure best practices in data storytelling.

What is the difference between Director Data Visualization Tableau vs Data Analyst?

AspectDirector Data Visualization TableauData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; Tableau certifications often preferredBachelor's in Statistics, Mathematics, or related field; Tableau certifications beneficial
Work EnvironmentLeadership role overseeing visualization teams, strategic planning, and project managementAnalyzing data, creating reports, and supporting decision-making processes
Industry UsageUsed across industries for high-level data visualization and reportingCommonly used for data analysis, reporting, and insights generation

The main difference between a Director Data Visualization Tableau and a Data Analyst lies in their scope and responsibilities. The director oversees visualization teams and strategic initiatives, while data analysts focus on data analysis and report creation. Both roles require similar credentials and are integral to data-driven decision-making in organizations.

What are the key skills and qualifications needed to thrive as a Director of Data Visualization (Tableau), and why are they important?

To thrive as a Director of Data Visualization (Tableau), you need advanced expertise in data analytics, visualization best practices, and a strong background in statistics or computer science, often supported by a relevant degree. Mastery of Tableau, SQL, and data management systems, along with certifications like Tableau Desktop Specialist or Certified Professional, is typically expected. Strong leadership, communication, and stakeholder management skills help you guide teams and translate complex data into actionable insights. These skills ensure that data-driven decisions are effectively communicated and drive organizational strategy.
More about Director Data Visualization Tableau jobs
What cities are hiring for Director Data Visualization Tableau jobs? Cities with the most Director Data Visualization Tableau job openings:
What are the most commonly searched types of Data Visualization Tableau jobs? The most popular types of Data Visualization Tableau jobs are:
What states have the most Director Data Visualization Tableau jobs? States with the most job openings for Director Data Visualization Tableau jobs include:
Infographic showing various Director Data Visualization Tableau job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.
Data Visualization Engineer

Data Visualization Engineer

The AES Group

Morristown, NJ • On-site

$117K - $141K/yr

Contractor

Re-posted 11 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!