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Visual Analytics Jobs (NOW HIRING)

Uw

Director of Data, Planning & Analytics

Seattle, WA · On-site

Lead the design and delivery of visual analytics products, dashboards, and data stories that address institutional financial priorities and academic portfolio questions for CFO, President/Provost ...

Bytoa

Visual Analyst

Fort George G Meade, MD · On-site

$110 - $140/hr

Bytoa is seeking a Visual Analyst, to support an organization's web development and deployment efforts. Your role will involve assisting in web design and development to maintain a professional front ...

New

Tanisha Systems

SAS CI

New York, NY · On-site

Strong experience in building Campaigns on SAS CI Strong experience on SAS Visual Analytics and Campaign Performance reports Good understanding of overall marketing processes Understanding of ...

Tanisha Systems

SAS CI

New York, NY · On-site

Contract Mandatory Skills : • Strong experience in building Campaigns on SAS CI • Strong experience on SAS Visual Analytics and Campaign Performance reports • Good understanding of overall ...

Uniqus Consultech Inc

Associate Director

San Jose, CA · On-site

KPI development using visual analytics; statistical techniques incl. regression, clustering, and Pareto analysis; * Advanced Excel; Smart sheet, and; PowerPoint. * Travel to unanticipated client ...

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Visual Analytics information

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How much do visual analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for visual analytics in the United States is $26.33, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $28.85 per hour, depending on experience, location, and employer.

What is visual analytics?

Visual analytics is the science of analytical reasoning supported by interactive visual interfaces. It combines automated data analysis techniques with interactive visualizations to help users understand complex data, identify patterns, and make informed decisions. Professionals in visual analytics use tools and methods from statistics, computer science, and design to turn large datasets into visual representations that are easier to interpret. This field is widely used in business intelligence, scientific research, and many other domains where making sense of large, complex data is crucial.

How does a visual analytics professional typically collaborate with data scientists and business stakeholders?

Visual Analytics professionals often serve as a bridge between technical data teams and business stakeholders. They work closely with data scientists to understand and interpret complex data models, then translate these findings into interactive dashboards or visual reports that are accessible to non-technical decision-makers. Regular collaboration includes iterative feedback sessions, requirement gathering meetings, and workshops to ensure visualizations effectively support business goals. This collaborative environment fosters a shared understanding of data insights and drives better-informed decisions across the organization.

What are the key skills and qualifications needed to thrive as a visual analytics professional, and why are they important?

To thrive as a Visual Analytics professional, you need strong analytical skills, proficiency in data visualization, and typically a background in computer science, statistics, or a related field. Familiarity with technical tools such as Tableau, Power BI, Python, and data management systems is commonly required. Creative problem-solving, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting clear insights to stakeholders. These skills are essential for transforming raw data into actionable visual stories that drive informed business decisions.

What is the difference between Visual Analytics vs Data Analyst?

AspectVisual AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, analytics, or related field; proficiency in visualization toolsBachelor's degree in statistics, mathematics, or related field; strong analytical skills
Work EnvironmentFocus on creating visual representations of data to support decision-makingAnalyze data sets, generate reports, and provide insights
Industry UsageUsed across industries for data storytelling and dashboardsCommonly employed for data reporting and analysis tasks

While both roles involve working with data, Visual Analytics specialists focus on designing visual representations to communicate insights effectively, whereas Data Analysts perform broader data analysis and reporting. Both roles often collaborate but serve different primary functions within data-driven organizations.

Is data visualization a good career?

Data visualization is a valuable career within the field of data analytics, involving creating visual representations of data to communicate insights effectively. It requires skills in tools like Tableau, Power BI, or D3.js and often benefits from knowledge of data analysis and programming. The demand for professionals in this area is growing as organizations seek to make data-driven decisions.

What can you do with visual analytics?

A professional in visual analytics uses data visualization tools and techniques to interpret complex data sets, identify patterns, and support decision-making. They create dashboards, reports, and interactive visuals to communicate insights effectively to stakeholders. Skills in data analysis, visualization software, and understanding of business context are essential for this role.
More about Visual Analytics jobs

What states have the most Visual Analytics jobs?

States with the most job openings for Visual Analytics jobs include:

What job categories do people searching Visual Analytics jobs look for?

The top searched job categories for Visual Analytics jobs are:

Visual Analytics jobs near you
Infographic showing various Visual Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $54,759 per year, or $26.3 per hour.

Data Management and Analytics Engineer

MAG Aerospace

Fairfax, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Position Summary
MAG is staffing for a Data Management and Analytics Engineer to transform raw data into strategic intelligence through advanced analytics and data engineering. You'll architect scalable data solutions using the SAS platform, enabling data-driven decision making that directly supports mission-critical operations and business objectives.
U.S. Citizens Only
Former US Defense Contractor / US Gov / US Military Experiences Only
This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested.
We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in:
Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC
Essential Duties and Responsibilities
Duties include, but not limited to:
Primary Responsibilities
  • Design and implement robust data pipelines using SAS Viya and SAS Data Integration Studio
  • Lead migration initiatives from legacy data environments to SAS Viya cloud instances, including comprehensive data rationalization and modernization of existing algorithms for cloud-native computing architectures
  • Develop advanced SAS programming solutions (Base SAS, SAS/STAT, SAS Macros, SAS/SQL) for complex data transformations
  • Build statistical models and machine learning algorithms using SAS Enterprise Miner and SAS Visual Analytics
  • Create automated ETL processes to extract, cleanse, and transform large datasets from diverse sources
  • Implement data quality frameworks and governance standards to ensure accuracy and integrity
  • Develop interactive dashboards and visualizations using SAS Visual Analytics and other BI tools
  • Optimize data warehouse architecture and implement efficient data modeling principles

Secondary Responsibilities
  • Create comprehensive reports and presentations to communicate analytical findings to stakeholders
  • Collaborate with business analysts and data scientists to translate requirements into technical solutions
  • Maintain and enhance existing SAS code libraries for efficiency and reusability
  • Provide technical mentoring and knowledge transfer to junior team members
  • Support data governance initiatives and compliance with industry regulations
  • Implement data security protocols and access controls within SAS environments
  • Document analytical processes and maintain comprehensive technical specifications

Requirements
  • 5+ years of hands-on experience in data management, data engineering, or analytics
  • Extensive, proven experience with SAS Viya platform including SAS Enterprise Guide and SAS Data Integration Studio
  • Expert-level SAS programming skills with focus on data manipulation, ETL processes, and statistical analysis
  • Strong proficiency in SQL for querying and manipulating relational databases (Oracle, SQL Server, PostgreSQL)
  • Experience with data warehousing concepts, dimensional modeling, and database optimization
  • Strong scripting skills (Python, R, or advanced SAS macro programming)
  • Understanding of statistical analysis, data mining, and machine learning techniques
  • Experience with cloud platforms (Azure required, AWS/GCP beneficial)
  • Knowledge of data visualization tools (SAS Visual Analytics, Tableau, Power BI)

Preferred Qualifications
  • SAS Global Certifications (Base Programming, Advanced Programming, Data Integration)
  • Experience with SAS Visual Analytics and SAS Enterprise Miner
  • Knowledge of machine learning frameworks and advanced statistical modeling
  • Familiarity with big data technologies (Hadoop, Spark, NoSQL databases)
  • Experience with version control systems (Git) and collaborative development practices
  • Understanding of data privacy regulations and compliance frameworks
  • Experience with the Department of Defense or similarly regulated environment.

Education:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field
  • Preferred - Master's degree in Statistics, Data Science, or related analytical field

Clearance:
  • Must be eligible for Secret security clearance
  • US Citizenship required

Special Note
What Makes You Successful Here
  • You turn complex datasets into actionable insights
  • You build scalable, maintainable data solutions, not one-off analyses
  • You implement data quality into pipelines, not validate it after the fact
  • You can work across on-premises, cloud, and hybrid data environments
  • You measure success by the business impact of your analytical solutions

Why Join MAG:
  • Work on meaningful analytics problems that directly impact national security
  • Small, elite team where your data insights drive immediate operational decisions
  • Access to cutting-edge SAS technologies and large-scale datasets
  • Rapid analytics environment - see your models deployed and making impact quickly
  • Direct interaction with stakeholders and end users of analytical products
  • Professional development including SAS certification and conference attendance support
  • Flexible work arrangements with occasional field exercises and customer site visits
  • Opportunity to shape the future of mission-critical data analytics and intelligence

Benefits and Compensation
At MAG Aerospace, we value your contributions providing our employees with a robust Total Rewards package that supports your total well-being. Full-time and part-time employees working at least 30 hours a week on a regular basis are eligible to participate in MAG's Total Rewards programs. Our offerings include health, life, disability, financial, and retirement benefits as well as paid leave, professional development, and tuition assistance. Individuals that do not meet the threshold are only eligible for select offerings not inclusive of health benefits. We encourage you to learn more about our Total Rewards Program by visiting the Resource page on our Careers site: https://www.magaero.com/benefits/. Salary at MAG Aerospace is determined by various factors including but not limited to location, the particular combination of education, knowledge, skills, competencies, and experience as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $80500 to $149500 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of MAG's total compensation package for employees.

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