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

RADaR

Data Visualization Analyst

Saint Louis, MO · Hybrid

The Data Visualization Analyst is a specialist dedicated to transforming complex, raw data into clear, actionable, and visually compelling narratives. This role is centered on Tableau mastery ...

Leidos

Data Analytics & Visualization Engineer

Shiloh, IL · On-site

$106K - $128K/yr

We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV) team. This is an exciting opportunity to work in a fast-paced environment where innovation ...

Iftechs

Senior Data Scientist - (Arnold, MO)

Arnold, MO · On-site

$90 - $130/hr

Senior‑level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries. * Demonstrated ...

Varsity Tutors

Data Analysis Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

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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 9, 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 Visualization Analyst

RADaR

Saint Louis, MO • Hybrid

Full-time

Re-posted 26 days ago

Job description

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

The Data Visualization Analyst is a specialist dedicated to transforming complex, raw data into clear, actionable, and visually compelling narratives. This role is centered on Tableau mastery, requiring an individual who can not only build interactive dashboards but also architect the data models that power them. The Analyst will work closely with client strategists to define KPIs, identify trends, and communicate insights that drive strategic decision-making. While the core focus is technical visualization, an understanding of marketing and media metrics is highly valued to support our agency's data storytelling efforts.

Essential Duties and Responsibilities (Other duties may be assigned)

  • Expert Dashboard Development: Lead the design, creation, and maintenance of interactive, user-friendly, and high-impact reports in Tableau, ensuring all visualizations meet brand standards and user needs.
  • Data Analysis & Modeling: Clean, organize, and analyze datasets from disparate sources to identify critical trends and patterns. Use SQL to extract and manipulate data for efficient reporting.
  • Strategic Data Storytelling: Translate technical findings into visual formats (graphs, charts, heatmaps) that provide clear, actionable recommendations for executive and technical stakeholders.
  • Requirement Gathering: Act as a bridge between technical teams and business units, working directly with stakeholders to define reporting requirements and establish relevant Key Performance Indicators (KPIs).
  • Process Automation: Identify and implement opportunities for automation within the data reporting lifecycle to increase efficiency and reduce manual data handling.
  • Quality Assurance: Perform rigorous data validation and testing to ensure the accuracy and integrity of all dashboards and reports.
  • Ad-Hoc Reporting: Provide rapid-response data analysis and visualization to support urgent business questions or client requests.

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Professional Experience: 2–5 years of hands-on experience in data modeling and professional data visualization.
  • Tableau Mastery: Advanced proficiency is mandatory. Candidates must demonstrate deep experience in building complex workbooks, using Level of Detail (LOD) expressions, and optimizing dashboard performance.
  • Analytical Thinking: A proven ability to interpret large, complex datasets and identify the "so what" behind the numbers.
  • Communication: Exceptional verbal and written skills, with a specific talent for presenting data to non-technical audiences.
Preferred Skills
  • Data Wrangling: Experience with SQL for data extraction, manipulation, and join logic.
  • Marketing & Media Experience: Familiarity with marketing analytics (e.g., Google Analytics, Meta Ads, Search metrics) and media agency workflows.
  • Advanced Excel: Proficiency in complex formulas, PivotTables, and Power Query.
  • Design Sense: A strong eye for UI/UX principles as they apply to dashboard layout and color theory.

Education

  • Bachelor's Degree: Marketing Analytics, Business Analytics, or similar field.

Total Perks Package

  • The chance to be a part of a growing company and the next success story
  • Amazing opportunities for career development
  • Recognition programs
  • Employee referral bonus
  • Hybrid work schedule; 3 days in the office, 2 days working from home
  • Fun and collaborative work environment
  • Casual dress code
  • Insurance Coverage (medical, dental, vision, life, and disability)
  • 401(k) retirement plan, with employer 4% match
  • Work/life benefits, including mental health and wellbeing support
  • Flexible Time Off Policy
  • Paid holidays, including agency soft closing Christmas Eve-New Year's Day
  • Paid leave options, including sick leave, medical leave for self and family, and parental leave

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