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Data Visualization Jobs in St Louis, MO (NOW HIRING)

GRVTY

Senior Data Scientist

Saint Louis, MO

This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an ...

SwiftCruit

Scientist III, Data Sciences

Saint Louis, MO · On-site

$110 - $165/hr

Experience with data visualization tools (Power BI, Tableau) and dashboard development * Proficiency in statistical analysis, experimental design, and hypothesis testing * Demonstrated ability to ...

New

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

Present information using data visualization techniques. * Propose solutions and strategies to address Key Intelligence Questions. * Collaborate with engineering and product development teams.

Intellectix

Data Scientist

Saint Louis, MO · On-site

Present information using data visualization techniques. * Propose solutions and strategies to address Key Intelligence Questions. * Collaborate with engineering and product development teams.

Ameren Services

Data Analytics Coop

Saint Louis, MO

$21 - $30/hr

Basic knowledge of data visualization, relational databases, writing queries (SQL), and programming or scripting with tools such as Python * Proficiency with Microsoft Office products, specifically ...

Ameren Services

Data Analytics Coop

Saint Louis, MO · On-site

$21 - $30/hr

Basic knowledge of data visualization, relational databases, writing queries (SQL), and programming or scripting with tools such as Python * Proficiency with Microsoft Office products, specifically ...

AMS Ameren Services

Data Analytics Coop

Saint Louis, MO

$21 - $30/hr

Basic knowledge of data visualization, relational databases, writing queries (SQL), and programming or scripting with tools such as Python * Proficiency with Microsoft Office products, specifically ...

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Showing results 21-40

All JobsData Visualization JobsData Visualization Jobs in St. Louis, MO

Data Visualization information

See St Louis, MO salary details

$52.5K

$106.4K

$157K

How much do data visualization jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data visualization in St. Louis, MO is $106,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $119,600.00 per year, depending on experience, location, and employer.

What is data visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with increasing demand across industries.

What are some common challenges faced by professionals in data visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a data visualization specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with experience and proficiency in tools like Tableau, Power BI, or D3.js. Salaries vary by industry, location, and skill level but generally align with other data analysis roles, with higher pay for those who combine visualization skills with data analysis or programming expertise.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in explaining insights to non-technical stakeholders.
More about Data Visualization jobs
What are the most commonly searched types of Data Visualization jobs in St. Louis, MO? The most popular types of Data Visualization jobs in St. Louis, MO are:
What are popular job titles related to Data Visualization jobs in St. Louis, MO? For Data Visualization jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in St. Louis, MO look for? The top searched job categories for Data Visualization jobs in St. Louis, MO are:
What cities near St. Louis, MO are hiring for Data Visualization jobs? Cities near St. Louis, MO with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in St. Louis, MO as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $106,411 per year, or $51.2 per hour.

Data Analyst Mid - GEOINT Technical SME

Tulk LLC

Saint Louis, MO • On-site

$121K - $155K/yr

Full-time

Re-posted 25 days ago

Job description

Data Analyst - GEOINT Technical SME - Mid

TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. Our expert team supports Defense, Intelligence Community, and National Security customers by helping them acquire, manage, analyze, and improve mission-focused technology, data, and business capabilities.

We are seeking a Data Analyst - GEOINT Technical SME - Mid to support geospatial intelligence, business analytics, data visualization, and mission data management activities. This role is ideal for a cleared data professional with experience applying data analytics, GEOINT tools, scripting, and visualization techniques to support decision-making, improve business processes, and deliver actionable insights to mission stakeholders.

About the Work

The Data Analyst - GEOINT Technical SME - Mid will support data analysis, model development, dashboarding, metrics reporting, and data-driven business process improvement. The role involves working with stakeholders, project managers, and subject matter experts to clarify business needs, analyze data from multiple sources, develop visual products, support analytic tools, and help improve organizational performance.

This position requires the ability to transform quantitative and qualitative data into clear, useful, and mission-relevant insights. The candidate should be comfortable working in classified environments, supporting Intelligence Community stakeholders, and using data tools to improve understanding of mission, operational, business, and technical issues.

Your Duties

  • Develop data analytics, dashboards, reports, charts, graphs, and other visualizations using industry-standard data analysis and data science practices.
  • Transform complex data sets from multiple sources into understandable visual products that support leadership, mission, and business decision-making.
  • Collaborate with project requestors, stakeholders, subject matter experts, and project managers to refine requirements and clarify business objectives.
  • Use data analytics to identify issues, draw logical conclusions, form business insights, and recommend ways to improve organizational performance and efficiency.
  • Support the development, integration, maintenance, and sustainment of analytic models, visualizations, and tools.
  • Support risk scoring, anomaly detection, performance monitoring, metrics tracking, and related data analysis implementations as required.
  • Capture, maintain, and analyze statistics, timelines, system performance data, and other operational metrics.
  • Prepare reports, briefings, dashboards, and visual summaries for internal teams, technical stakeholders, and leadership audiences.
  • Support policy, process, and business operations activities by contributing data analysis, technical editing, documentation, and reporting support.
  • Use scripting and automation techniques to manipulate, analyze, clean, transform, or visualize data as needed.
  • Support geospatial data analysis and related GEOINT mission activities using applicable tools, data sets, and technical methods.
  • Work independently and collaboratively in a dynamic environment with changing priorities and short suspense timelines.

Required Skills and Experience

  • Top Secret / SCI security clearance
  • U.S. Citizenship
  • Bachelor’s degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience.
  • 6 or more years of relevant experience developing data analytics, visualizations, analytic models, dashboards, or data-driven business products.
  • Demonstrated experience using data to form business insights, draw logical conclusions, and support performance-improving strategies.
  • Demonstrated experience collaborating with stakeholders to clarify project needs, business objectives, data requirements, and analytical questions.
  • Experience creating and editing visual content such as charts, graphs, dashboards, and briefing materials to represent data clearly.
  • At least 12 months of demonstrated experience using one or more geospatial or GEOINT-related tools such as ArcGIS, ArcView, RemoteView, ArcIMS, ERDAS Imagine, or similar geospatial analysis tools.
  • Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization.
  • Demonstrated ability to use SharePoint, Tableau, Redmine, databases, or other systems to manipulate data, manage information, and build data visualizations.
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented mission environment.
  • Proficiency with Microsoft Office tools, including Excel and PowerPoint.

Desired Skills and Experience

  • Experience supporting GEOINT, Intelligence Community, Department of Defense, or national security missions.
  • Experience supporting insider threat, risk scoring, anomaly detection, or similar security-focused analytics programs.
  • Experience with policy development, process improvement, business operations, or performance management initiatives.
  • Experience with GEOINT analysis software, NGA mission applications, geospatial data sets, or mission reporting tools.
  • Experience using Tableau, Python, SQL, GIS tools, SharePoint, or other business intelligence and data visualization platforms.
  • Experience preparing executive-level briefings, technical reports, dashboards, and visual summaries for senior stakeholders.
  • Experience with data quality analysis, data cleansing, data transformation, and data integration across multiple sources.

Work Environment

  • Work is performed in support of Federal, Defense, Intelligence Community, and national security missions.
  • Work may be performed in classified environments and requires compliance with applicable security, information handling, and customer site requirements.
  • Normal work hours are generally Monday through Friday during standard business hours, unless otherwise required by mission needs.