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

Familiarity with marketing automation tools, A/B testing platforms, web analytics, and data visualization tools. Creativity: * Ability to think creatively and develop unique strategies to achieve ...

Familiarity with marketing automation tools, A/B testing platforms, web analytics, and data visualization tools. Creativity: * Ability to think creatively and develop unique strategies to achieve ...

Familiarity with marketing automation tools, A/B testing platforms, web analytics, and data visualization tools. Creativity: * Ability to think creatively and develop unique strategies to achieve ...

Deep knowledge of spreadsheet design, formulas and functions including VLOOKUP, INDEX-MATCH, IF, SUMIFS, and array formulas, pivot tables, data visualization with charts, conditional formatting, data ...

Deep knowledge of spreadsheet design, formulas and functions including VLOOKUP, INDEX-MATCH, IF, SUMIFS, and array formulas, pivot tables, data visualization with charts, conditional formatting, data ...

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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.

Business Development Administrator

Cogent Talent Solutions

Greensboro, NC

Full-time

Posted 16 days ago


Job description

At Cogent Analytics, we partner with small to mid-sized businesses across the country to drive growth, improve performance, and create long-term value. Our team delivers data-driven insights and hands-on consulting to help organizations operate more effectively and achieve measurable results. We are committed to accountability, transparency, and operational excellence in everything we do.

We are currently seeking a Business Development Administrator to support our Outside Sales Team at our Greensboro, NC headquarters. This role plays a critical part in ensuring structure, consistency, and adherence to established processes across the sales pipeline. The ideal candidate thrives in a fast-paced environment and brings a high level of precision, organization, and accountability to their work.

Success in this position is defined by accuracy, timeliness, and the ability to keep a dynamic sales team aligned, informed, and operating efficiently.

Responsibilities:
  • Support sales leadership by reinforcing process adherence and maintaining departmental standards
  • Manage and maintain sales pipeline data across multiple systems, ensuring accuracy and completeness
  • Track, input, and reconcile data related to discoveries, sales outcomes, and client information
  • Generate and deliver reports, dashboards, and analytics to support leadership decision-making
  • Coordinate follow-ups on action items, missing data, and post-sale documentation across teams
  • Ensure timely and accurate processing of all sales outcomes, including Go, NoGo, and No Sale statuses
  • Monitor data integrity and proactively identify discrepancies or gaps within reporting systems
  • Act as a central point of coordination between sales, leadership, and internal teams
Qualifications:

Minimum Requirements:

  • High School Diploma or GED equivalent
  • 1–3 years of experience in a professional role
  • Proficiency in Microsoft Office Suite (Excel, Word, Outlook, etc.)

Preferred Qualifications:

  • Bachelor’s degree in Business Administration or a related field
  • 3–5 years of experience in a professional role, preferably in a sales or operations environment
  • Experience working with CRM systems
  • Experience in reporting through Tableau or similar data visualization tools
  • Experience with Adobe Pro and ClickUp (Canva experience is a plus)
Core Competencies:
  • Strong attention to detail with a commitment to data accuracy and organization
  • Proactive and action-oriented with the ability to anticipate needs and solve problems
  • Assertive yet diplomatic communicator who can manage cross-functional relationships
  • Technically proficient and comfortable learning new systems and tools quickly
  • Analytical thinker capable of interpreting data and identifying trends or discrepancies
  • Highly organized multitasker who can balance detailed execution with strategic awareness

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.