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Data Visualization Jobs in High Point, NC (NOW HIRING)

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

This position will play a key role in advancing finance automation, data visualization, and AI-enabled solutions while supporting core business control processes and executive reporting. As a ...

This position will play a key role in advancing finance automation, data visualization, and AI-enabled solutions while supporting core business control processes and executive reporting. What you ...

This position will play a key role in advancing finance automation, data visualization, and AI-enabled solutions while supporting core business control processes and executive reporting. As a ...

This position will play a key role in advancing finance automation, data visualization, and AI-enabled solutions while supporting core business control processes and executive reporting. What you ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

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Data Visualization information

See High Point, NC salary details

$48.2K

$97.7K

$144.1K

How much do data visualization jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data visualization in High Point, NC is $97,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $109,700.00 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.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

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 AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization tools are better positioned to adapt to these technological changes.

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, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

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.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These roles involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What job categories do people searching Data Visualization jobs in High Point, NC look for? The top searched job categories for Data Visualization jobs in High Point, NC are:
What cities near High Point, NC are hiring for Data Visualization jobs? Cities near High Point, NC with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in High Point, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 65% In-person, 11% Hybrid, and 24% Remote job distribution, with an average salary of $97,650 per year, or $46.9 per hour.
Co-op: Engineering, Data Science (Fall 2026)

Co-op: Engineering, Data Science (Fall 2026)

Volvo Group

Greensboro, NC • On-site

$111K - $133K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Volvo Group is committed to shaping sustainable transport solutions for the future. As a Data Science Co-op within the CV-FAST team, you will analyze complex vehicle data to support data-driven development and improve product performance through collaboration with engineers and data scientists.
Responsibilities:
• Work with engineers and data scientists to analyze simulation, test, and vehicle data to identify trends, anomalies, and improvement opportunities
• Clean, transform, and structure raw datasets to make them usable for analysis and modeling
• Develop and maintain data pipelines, scripts, and notebooks to automate repetitive analysis tasks
• Create dashboards and visualizations to communicate key insights to engineering teams and stakeholders
• Use AI-assisted tools to accelerate data exploration, generate code, and improve productivity
• Support the validation of data and models to ensure accuracy, robustness, and reproducibility
• Participate in team standups, technical discussions, and cross-functional collaboration to align on priorities and deliverables
• Build predictive models using vehicle and test data to identify potential performance issues or trends
• Develop AI-assisted tools or workflows (e.g., automated reports, insight generation, or data analysis pipelines) to improve engineering efficiency
• Analyze data from vehicle simulations and physical testing to support correlation and improve product validation strategies
• Support the development of digital twin or simulation-driven analytics capabilities by ensuring high-quality, structured data inputs
• Create or enhance Power BI or Streamlit applications that enable engineers to explore and interact with data more effectively
• Contribute to projects that automate or modernize engineering processes, reducing manual work and improving consistency
• Experiment with machine learning or generative AI techniques to improve how insights are generated and communicated
• Help improve the speed and quality of engineering decisions through better data and insights
• Enable more efficient verification & validation processes through data-driven approaches
• Contribute to Volvo’s broader digitalization and AI transformation within product development
Qualifications:
Required:
• Currently enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Engineering, Statistics, or a related field
• Applicants must have a minimum cumulative grade point average of 2.75
• Co-ops are not enrolled in academic courses during their co-op rotation and may work up to 40 hours per week
• Hands‑on experience with programming for data analysis (e.g., Python, SQL)
• Basic understanding of statistics, data analysis, and machine learning concepts
• Familiarity with AI/ML workflows, including data preparation, feature engineering, model training, and evaluation
• Exposure to Generative AI or AI-assisted tools (e.g., using AI for coding, analysis, or automation)
• Experience working with datasets (cleaning, structuring, analyzing data)
• Strong problem‑solving skills and ability to communicate findings clearly
• Ability to validate outputs and ensure data quality, accuracy, and reproducibility
• Ability to work collaboratively in a team environment and learn in a fast‑paced setting
Preferred:
• Experience with data visualization tools (e.g., Power BI, matplotlib, plotly)
• Exposure to machine learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch)
• Familiarity with modern AI concepts (e.g., prompt engineering, embeddings, or retrieval‑based approaches)
• Experience building AI-assisted workflows or lightweight tools (automation scripts, dashboards, or applications)
• Familiarity with data pipelines, automation, or scripting workflows
• Experience working with engineering, simulation, or test data
• Interest in automotive, transportation, or heavy‑duty vehicle systems
• Exposure to cloud platforms, databases, or big data tools
• Experience contributing to projects involving AI, analytics, automation, or dashboards
Company:
Volvo Group is a manufacturer of trucks, buses, construction equipment, and marine and industrial engines. Founded in 1927, the company is headquartered in Gothenburg, SWE, with a team of 10001+ employees. The company is currently Late Stage.