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Data Science Visualization Jobs in Cary, NC (NOW HIRING)

Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or a related ... Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL ...

Bachelors degree in Business, Computer Science, Data Science, Information Systems, or a related ... Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL ...

Data Analysis Tutor

Durham, NC ยท Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Analysis Tutor

Chapel Hill, NC ยท Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Analysis Tutor

Raleigh, NC ยท Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

ERP AI Engineer - Manager

Raleigh, NC ยท On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

Showing results 41-60

Data Science Visualization information

See Cary, NC salary details

$50K

$101.4K

$149.6K

How much do data science visualization jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science visualization in Cary, NC is $101,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $113,900.00 per year, depending on experience, location, and employer.

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

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

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What are popular job titles related to Data Science Visualization jobs in Cary, NC?

For Data Science Visualization jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Cary, NC look for?

The top searched job categories for Data Science Visualization jobs in Cary, NC are:

What cities near Cary, NC are hiring for Data Science Visualization jobs?

Cities near Cary, NC with the most Data Science Visualization job openings:

Infographic showing various Data Science Visualization job openings in Cary, NC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,396 per year, or $48.7 per hour.

Technical Business Analyst

Elder Research

Raleigh, NC โ€ข On-site

Full-time

Re-posted 23 days ago


Job description

Technical Business Analyst
Job Title: Technical Business Analyst
Location(s): Raleigh NC
Workplace: Hybrid - Due to in-office requirements, candidates must be local to either Raleigh, NC or Charlottesville, VA. Relocation assistance is not available
Clearance Required: Not required, BUT YOU MUST BE ELIGIBLE FOR A CLEARANCE
Position Overview:
As a Technical Business Analyst, you will play a key role in bridging business needs with technical solutions. In this role, you will:
  • Conduct process mapping and analysis to identify inefficiencies, recommend improvements, and support process optimization.
  • Define, catalog, and maintain data sets while ensuring data quality, integrity, and accessibility.
  • Identify and document data users, their requirements, and use cases to enable effective decision-making.
  • Collaborate cross-functionally to develop new data products, solutions, and business processes.
  • Translate business requirements into technical specifications for developers, engineers, and stakeholders.
  • Lead initial issue response and root cause analysis for technical and process-related challenges.
  • Facilitate collaboration through visualization and ideation tools (e.g., MIRO, Mural, FIGMA, Notion).
  • Support the development and implementation of data governance and data management best practices.
  • Conduct business process modeling using frameworks such as BPMN or UML.
  • Gather and document requirements through user stories, use cases, and functional/non-functional specifications.
  • Perform data analysis and reporting using Excel, SQL, or BI tools.
  • Work within Agile frameworks, including sprint planning, backlog refinement, and stand-ups.
  • Partner with technical teams to bridge the gap between business needs and technology solutions.

Position Requirements:
  • Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or a related field.
  • Proven experience as a Business Analyst, Technical Business Analyst, or in a related role.
  • Strong problem-solving and analytical skills with the ability to interpret complex data.
  • Excellent written and verbal communication skills, with the ability to engage both technical and non-technical audiences.
  • Experience with requirement gathering, user stories, and technical documentation.
  • Proficiency with work management and tracking tools (e.g., JIRA, Azure DevOps).
  • Strong client delivery and stakeholder management skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Familiarity with data governance frameworks and best practices.

Preferred Skills and Qualifications:
  • Experience with SQL for data querying, validation, and reporting.
  • Programming skills (Python, R, or similar) for data analysis and automation.
  • Familiarity with data visualization tools (Power BI, Tableau, Looker).
  • Understanding of ETL processes, APIs, and system integrations.
  • Knowledge of cloud-based data platforms (AWS, Azure, GCP).
  • Familiarity with data science models and their applications.
  • Understanding of and ability to contribute to the Software Development Life Cycle (SDLC).
  • Strong attention to detail and ability to create clear technical documentation.

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.