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Data Visualization Jobs in Reading, PA (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 ...

Associate Data Engineer III

Reading, PA ยท On-site

$110K - $132K/yr

... with visualization tools such as Qlikview, Qliksense, Tableau, etc. โ€ข Knowledge of technical ... big data' data stores โ€ข Ability to troubleshoot and resolve issues โ€ข Ability to research ...

New

Presentation Skills Tutor

Reading, PA ยท 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.

Familiarity with business intelligence and data visualization tools (e.g., Power BI, Qlik, Tableau) to communicate insights effectively Physical Requirements: โ€ข The physical and mental demands ...

Experience with KPI reporting, dashboards, and data visualization tools. * Supplier performance management experience. * Experience managing or improving KPIs such as: * On-Time-In-Full (OTIF ...

Familiarity with business intelligence and data visualization tools (e.g., Power BI, Qlik, Tableau) to communicate insights effectively Physical Requirements: The physical and mental demands ...

Familiarity with business intelligence and data visualization tools (e.g., Power BI, Qlik, Tableau) to communicate insights effectively Physical Requirements: The physical and mental demands ...

MDM Architect

Reading, PA ยท On-site

$77K - $78K/yr

Recommend effective visualization designs tailored to business user needs. Requirements * 10+ years of experience in Qlik Sense/View development, data modeling, and BI reporting. * Hands-on ...

Data visualization (PowerBI, Tableau) and database programming (SQL, DAX, etc.) Intermediate, Preferred * Proficiency in developing and managing: Leader Standard Work, Visual Management Systems and ...

Data visualization (PowerBI, Tableau) and database programming (SQL, DAX, etc.) Intermediate, Preferred * Proficiency in developing and managing: Leader Standard Work, Visual Management Systems and ...

Data visualization (PowerBI, Tableau) and database programming (SQL, DAX, etc.) Intermediate, Preferred * Proficiency in developing and managing: Leader Standard Work, Visual Management Systems and ...

Cost Accounting Manager

Reading, PA ยท On-site

$100K - $110K/yr

Experience using Power BI for reporting and data visualization is desirable. * Certified Management Accountant (CMA) designation is an advantage. * Experience creating and using macros in Excel is ...

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Data Visualization information

See Reading, PA salary details

$51.9K

$105.1K

$155.1K

How much do data visualization jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data visualization in Reading, PA is $105,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $118,100.00 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 are the most commonly searched types of Data Visualization jobs in Reading, PA? The most popular types of Data Visualization jobs in Reading, PA are:
What job categories do people searching Data Visualization jobs in Reading, PA look for? The top searched job categories for Data Visualization jobs in Reading, PA are:
What cities near Reading, PA are hiring for Data Visualization jobs? Cities near Reading, PA with the most Data Visualization job openings:
Growth Hacker - Remote

Growth Hacker - Remote

EnthuZiastic

Reading, PA โ€ข On-site

Full-time

Posted 7 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

โ€‹

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.