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Visual Analytics Jobs (NOW HIRING)

Overview: SQL and SAS Reporting"Proficiency with SAS programming, including SAS Visual Analytics or Viya visualizationsStrong SQL Server development utilizing Management Studio and Integration ...

Data Analytics Engineer

Westlake, OH · On-site

$106K - $127K/yr

Essential tasks of the position • Lead the design and development of dashboards, visual analytics, and data products that enable fast, accurate decision-making across all business units. • ...

... visual analytics that support managers, HR partners, and leadership. • Lead requirements gathering with HR stakeholders, translating business needs into efficient, scalable reporting solutions. • ...

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Visual Analytics information

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$10

$26

$66

How much do visual analytics jobs pay per hour?

As of Jun 7, 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.

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.
More about Visual Analytics jobs
What states have the most Visual Analytics jobs? States with the most job openings for Visual Analytics jobs include:
Infographic showing various Visual Analytics job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $54,759 per year, or $26.3 per hour.

Senior Data Engineering & Analytics Lead

PM2CM

Pomona, CA

Full-time

Medical, Retirement

Posted 7 hours ago


Job description

PM2CM, Inc., (Project Management to Construction Management) is a professional services company and certified SBE and DBE, dedicated to providing Program and Project Management, Construction Management and Project Controls services during the design and construction phase of projects. Our expertise is in Project Controls which includes Scheduling, Cost Controls, Document Management and Controls, Budget tracking and monitoring, Estimating, Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management.

Our goal is simple: To offer and deliver the "best in class" project management, construction management and project controls services that allow our clients to build with confidence.

To achieve these objectives, we will strive to have a sound and complete understanding of the project scope and our client's corporate needs. We shall provide our services with integrity and stellar professionalism and hire the best qualified professionals.

This is a remote role with periodic in-person team meetings in Pomona, CA.

About the Role:

We are seeking an experienced Senior Data Engineering & Analytics Lead to drive data strategy, build scalable data infrastructure, and deliver actionable insights that support strategic decision-making across the organization.

Key Responsibilities:

  • Lead the design, development, and deployment of scalable data engineering solutions, including ETL, data modeling, and data pipeline architecture for large and complex datasets.
  • Apply advanced analytical and statistical methods to build forecasting, economic modeling, and performance analysis that solve complex business problems.
  • Develop intuitive dashboards and visual analytics using Power BI, Excel (Power Query), SAS, and other BI tools to support cross-functional stakeholders.
  • Translate analytical insights into clear reports, metrics, and executive-ready narratives that guide strategic operations and decisions.
  • Perform in-depth project data analysis and identify patterns, trends, and opportunities to improve processes and reporting capabilities.
  • Create and maintain robust technical documentation and deliver data support to leadership, operational teams, and business partners.
  • Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.

Requirements

Required Qualifications:

  • 7+ years of experience designing and delivering complex data engineering solutions.
  • Expert proficiency in Microsoft Office, advanced Excel (including Power Query), SAS, and SAP.
  • Experience with Business Intelligence tools for data visualization and analytics.
  • Strong analytical foundation with the ability to solve complex problems and translate them into business value.

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent combination of education/experience).
  • Advanced proficiency in SQL.
  • Knowledge of utility business operations.
  • Lean Six Sigma Black Belt or equivalent certification.

Benefits

What We Offer:

  • Remote work flexibility with periodic in-person team meetings in Pomona, CA.
  • Opportunity to lead critical enterprise data initiatives and influence strategic decisions.

Benefits

100% paid health insurance, 401K match and profit sharing.


About PM2CM

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Torrance, CA, US

Year founded

2014