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Visual Analytics Jobs (NOW HIRING)

BigBear.ai

Visual Analyst

Columbia, MD · On-site

... Analytics Team, where the primary responsibilities include web design and development, creating visual assets, and collaborating with senior designers to deliver compelling visual products.

BigBear.ai

Visual Analyst

Columbia, MD · On-site

... Analytics Team (DAT) , supporting the organization's web development and deployment efforts. In this role, you will assist in web design and development to maintain a professional front for the ...

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

Includes supporting use cases related to IoT devices and Smart City initiatives. • Develop dashboards and self-service analytics using tools such as SAS Visual Analytics, Power BI, and other Town ...

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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How much do visual analytics jobs pay per hour?

As of Jul 8, 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.

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.

How much does a data visualizer earn?

Data visualizers typically earn between $60,000 and $100,000 annually, depending on experience, location, and industry. Professionals with skills in tools like Tableau, Power BI, or D3.js and relevant certifications tend to have higher earning potential.

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 with visualization expertise is growing as organizations seek to make data-driven decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data visualization, statistical analysis, and tools like Excel, SQL, and Tableau. Many professionals successfully transition into data analysis later in their careers by gaining relevant certifications and experience. Employers focus on skills and experience rather than age, making it possible to start a career in this field at 40 or older.

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.

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.

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 can you do with visual analytics?

A visual analytics professional uses data visualization tools and techniques to analyze complex data sets, identify patterns, and communicate insights effectively. This role involves creating dashboards, reports, and interactive visuals to support decision-making and strategic planning. Proficiency in tools like Tableau, Power BI, or similar software is often required.
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 July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $54,759 per year, or $26.3 per hour.
Data Engineer - Senior

Data Engineer - Senior

Systems Engineering Solutions Corporation

Winchester, VA • On-site

$103K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Provide the government customer information technology (IT) services and technical expertise to support a thoughtful transition from team-level Scrum agile methodology to Scaled Agile Framework (SAFe). The Contractor will support both the operational transition and ongoing development activities, ensuring continuity of delivery while establishing SAFe practices, structures, and governance. Additional information about the SAFe framework can be found at SAFe 6.0 (scaledagileframework.com). In addition, we will assist the government customer with the design, architecture and implementation of a secure application development environment (ADV) specifically engineered to accelerate the organization's SAFe transformation. This environment must integrate automated security controls directly into the Continuous Delivery Pipeline and prioritize developer productivity and autonomy. Furthermore, the ADV must enable Zero Trust architecture that scales across distributed teams without compromising the Lean-Agile mindset.

Location: This position will be on-site in Winchester, VA.

Clearance: Top Secret with ability to get SCI

Requirements

We are seeking a Data Engineer - Senior responsible for carrying out engineering tasks to deliver an advanced visual analytic application to include: developing data analytics for desktop and web-developed visual analytic software; facilitating the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing, as well as using the specified open source, COTS, and GOTS technologies; and establishing an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data.

       Develop and deliver an advanced visual analytics application that enables users to derive actionable intelligence from large volumes of structured and semistructured data.

       Design and implement data analytics supporting both desktopbased and webbased visual analytic software.

       Enable bulk analysis of relational data using advanced graphical representations and visualization techniques.

       Apply advanced graphics, visualization methods, and highperformance computing techniques to support scalable analytic processing.

       Integrate and utilize opensource, Commercial OfftheShelf (COTS), and Government OfftheShelf (GOTS) technologies as part of the analytic solution.

       Establish analytic workflows and application capabilities that transform raw data streams into manageable, decisionready intelligence products.

       Support ingestion, processing, and visualization of streaming and batch data sources.

       Collaborate with stakeholders to ensure analytic outputs align with mission needs and operational use cases.

Required Skills:

       Bachelor's Degree and 8+ years or more of experience

       Strong experience developing data analytics solutions for complex datasets.

       Ability to work with structured and semistructured data, including relational data models.

       Experience performing bulk or largescale data analysis across interconnected data sources.

       Proven experience developing visual analytic applications or dashboards.

       Strong knowledge of advanced visualization techniques, including graphs, relational views, and interactive analytics.

       Experience building visual analytics for webbased and/or desktop applications.

       Experience working with opensource, COTS, and GOTS technologies within a production environment.

       Ability to integrate multiple tools and platforms into a cohesive analytic application.

Preferred Skills

       Experience developing analytic software using modern programming languages commonly used in analytics and visualization (e.g., Python, Java, JavaScript, or similar).

       Ability to design, develop, and enhance analytic applications from concept through deployment.

       Experience integrating analytics into enduser applications.

       Familiarity with highperformance computing concepts or performanceoptimized analytic processing.

       Ability to design analytics that scale to large datasets and highvolume data streams.

       Experience working with data streaming technologies or messagebased data ingestion.

       Familiarity with analytic pipelines supporting realtime or nearrealtime data analysis.

       Experience working in Agile or iterative development environments.

       Ability to collaborate with engineers, data scientists, and mission stakeholders to refine analytic requirements.

Benefits

SES provides a competitive salary and the following benefits:

  • Medical
  • Dental
  • Vision
  • AD&D
  • STD
  • LTD
  • Company paid Life Insurance
  • 401k with employer contribution
  • Paid Time Off
  • Pet Insurance

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