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Data Visualization Jobs in Mount Pleasant, SC (NOW HIRING)

EnthuZiastic

Growth Hacker - Remote

Charleston, SC · On-site

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 ...

EnthuZiastic

Growth Hacker - Remote

Mount Pleasant, SC · On-site

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 ...

Varsity Tutors

Microsoft Excel Tutor

Mount Pleasant, SC · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Microsoft Excel Tutor

Charleston, SC · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Presentation Skills Tutor

Charleston, SC · Remote

$18 - $40/hr

Deep knowledge of presentation design, storytelling techniques, slide creation best practices, data visualization, audience engagement strategies, delivery techniques, and virtual presentation tools.

Blackbaud

Senior Threat Detection Engineer

SC · On-site

$101K - $132K/yr

Perform intrusion analysis using SIEM technology, reports, data visualization, log analysis and pattern analysis * First responder to security events and escalations via email, phone, and tickets ...

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Showing results 41-60

All JobsData Visualization JobsData Visualization Jobs in Mount Pleasant, SC

Data Visualization information

See Mount Pleasant, SC salary details

$51.6K

$104.6K

$154.4K

How much do data visualization jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data visualization in Mount Pleasant, SC is $104,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $117,600.00 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.

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 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, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with increasing demand across industries.

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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with experience and proficiency in tools like Tableau, Power BI, or D3.js. Salaries vary by industry, location, and skill level but generally align with other data analysis roles, with higher pay for those who combine visualization skills with data analysis or programming expertise.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in explaining insights to non-technical stakeholders.
More about Data Visualization jobs
What job categories do people searching Data Visualization jobs in Mount Pleasant, SC look for? The top searched job categories for Data Visualization jobs in Mount Pleasant, SC are:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Mount Pleasant, SC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $104,614 per year, or $50.3 per hour.

Growth Hacker - Remote

EnthuZiastic

Charleston, SC • On-site

Full-time

Re-posted 20 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

User Acquisition:

  • Develop and execute strategies to acquire new users, customers, or leads through various channels, such as SEO, social media, content marketing, email marketing, and paid advertising.

Conversion Rate Optimization:

  • Identify areas of the user journey with conversion bottlenecks and devise experiments to optimize conversion rates, including A/B testing and landing page optimization.

Product Development:

  • Collaborate with product teams to improve user experience, optimize product features, and iterate based on user feedback to drive growth.

Customer Retention:

  • Develop strategies to increase customer retention and reduce churn through engagement, loyalty programs, and targeted communication.

Data Analysis:

  • Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance.

  • Use data-driven decisions to guide growth strategies and experiments.

Viral Marketing:

  • Create and implement strategies to encourage users to refer others to the product or service through viral marketing techniques.

Content Marketing:

  • Develop and distribute high-quality content that educates, informs, and engages the target audience, driving traffic and brand awareness.

Experimentation:

  • Plan and execute rapid, iterative experiments to test growth hypotheses and identify effective strategies.

  • Continuously refine and scale strategies based on experiment results.

Marketing Automation:

  • Implement marketing automation tools and workflows to streamline and personalize user communication and engagement.

Budget Management:

  • Manage and allocate budgets effectively across various growth channels, ensuring a positive return on investment.

Reporting and Analysis:

  • Provide regular reports on growth performance, including key metrics and insights to relevant stakeholders.
Requirements

Digital Marketing Expertise:

  • Proven experience in digital marketing, with a deep understanding of various marketing channels and tools.

Analytical Skills:

  • Strong analytical and data interpretation skills, including proficiency in data analysis tools and platforms.

Technical Proficiency:

  • 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 growth.

Communication Skills:

  • Effective communication skills for collaborating with cross-functional teams and presenting findings and strategies to stakeholders.

Entrepreneurial Mindset:

  • A proactive and entrepreneurial spirit with a willingness to take calculated risks and adapt to changes.

Adaptability:

  • Ability to stay updated with the latest trends in marketing and technology and adapt strategies accordingly.

Project Management:

  • Strong project management skills to handle multiple growth initiatives simultaneously.

Experience with Startups:

  • Experience working in a startup environment or high-growth company is often preferred.

Continuous Learning:

  • A commitment to ongoing learning and professional development in growth hacking.
Benefits

  • Opportunity to be a part of a dynamic growth focused tech startup.

  • Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes.

  • Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

  • Fun-loving environment and caring team mates and inclusive culture of the company.

Apply