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Data Visualization Jobs in Reading, PA (NOW HIRING)

Saransh Inc

MDM Architect

Reading, PA · 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 ...

Millerknoll

Material Planner

East Greenville, PA · On-site

Experience with Tableau or similar data visualization is preferred. * Experience with Rapid Response or similar system is preferred. PHYSICAL DEMANDS The physical demands described here are ...

Lantern

Strategy Analyst

Reading, PA · Remote

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Lantern

Strategy Analyst

Reading, PA · On-site

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Saransh Inc

Palantir Foundry

Reading, PA · On-site

$16.50 - $21.25/hr

Data Transformation (Code Repository & Pipeline Builder), analysis (Contour and Quiver), visualization (Workshop) and Ontology Manager. * Must also have a good knowledge of Spark (PySpark ...

Metropolitan Staffing

Data Engineer

Wyomissing, PA

$110K - $132K/yr

Metropolitan Companies is seeking a Data Engineer to support our growing data and application environment. This role will serve as a critical bridge between traditional database administration and ...

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All JobsData Visualization JobsData Visualization Jobs in Reading, PA

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 Sep 6, 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.

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.

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 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 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

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 demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

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 presenting insights effectively to stakeholders.
More about Data Visualization jobs

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 are popular job titles related to Data Visualization jobs in Reading, PA?

For Data Visualization jobs in Reading, PA, the most frequently searched job titles 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:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Reading, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $105,111 per year, or $50.5 per hour.

Postdoctoral Research Associate - Organic Hazelnut Systems & Agroforestry

Rodale Institute

Kutztown, PA • On-site

Full-time

Re-posted 25 days ago

Job description

Rodale Institute invites applications for a Postdoctoral Research Associate to support and expand its Perennial Research Program, with a focus on advancing organic hazelnut (Corylus avellana) production and agroforestry systems in the Northeastern United States. The successful candidate will lead and coordinate applied field-based research evaluating the horticultural, environmental, and economic performance of established hazelnut alley-cropping systems and trials of newly released regionally adapted hazelnut cultivars.
Core research activities will include assessing alley-cropping strategies to improve orchard establishment and productivity by integrating multispectral aerial imaging and field measurements for multispecies stress monitoring. Responsibilities also include 
quantifying soil health outcomes carbon sequestration potential, evaluating cultivar performance, developing enterprise budgets, and translating research findings through outreach and extension to growers and stakeholders.
This position offers a unique opportunity to work at the intersection of horticultural science, soil science, agroforestry, and high-throughput phenotyping, contributing science-based solutions with direct relevance to farmers, policymakers, and industry partners across the region. This is a 2-year position contingent upon satisfactory performance and funding availability. 
Essential Duties & Responsibilities:
  • Conduct and coordinate applied research within existing field experiments focused on hazelnut orchard establishment, alley cropping systems, cultivar trials, soil health, and drone-based aerial phenotyping
  • Support the development of enterprise budgets and economic models for small- and mid-scale organic hazelnut production systems in Pennsylvania and the Northeastern United States
  • Integrate multispectral aerial imaging with ground-based measurements to model tree stress, weed biomass, and intercrop performance within hazelnut alley-cropping systems
  • Perform multivariate analyses of horticultural, soil, aerial imaging, and environmental datasets using R and Python
  • Collaborate closely with researchers and partners at universities, non-profit organizations, and grower networks, including expertise in plant breeding, weed science, soil health, and agroforestry
  • Contribute to grant reporting, project coordination, and proposal development to support the growth of the Perennial Research Program
  • Translate research outcomes into grower-facing materials, including fact sheets, presentations, and extension publications while supporting field days, workshops, webinars, and grower meetings
  • Publish research findings in peer-reviewed scientific journals and present results at academic and industry conferences
  • Supervise interns and work closely with Research Technicians and Farm Operations staff to coordinate research orchard maintenance and data collection
Required Qualifications:
  • Ph.D. in Horticulture, Agronomy, Soil Science, Environmental Science, Ecology, or a closely related field
  • Demonstrated experience designing and conducting high-quality, applied field research in agricultural or ecological systems
  • Strong quantitative skills and experience analyzing large, high-dimensional datasets
  • High proficiency in R statistical software, mixed linear modeling, and data visualization
  • Excellent written and verbal communication skills, with the ability to engage both scientific and grower audiences
  • An enthusiastic, cooperative, and flexible mindset, ready to take on new challenges with a positive attitude.

Preferred Experience:
  • Experience with drone-based data collection and/or processing of aerial imagery for agricultural or ecological applications
  • Experience using Python for data analysis, image processing, and modeling, including reproducible computational workflows and environment management
  • Experience with the development of enterprise budgets, farm economics, or life-cycle assessment (LCA) for agricultural or natural resource systems
  • Demonstrated record of research leadership, including mentoring, collaboration, or initiative-taking within interdisciplinary or peer research communities.

How to Apply
  • Please submit a single PDF containing:
    • Cover letter describing research interests and relevant experience
    • Curriculum vitae
    • Contact information for three professional references.
  • Applications will be reviewed on a rolling basis until the position is filled
  • This position reports to Dr. Richard Tegtmeier, Orchard Scientist

All qualified applicants will receive consideration for employment without regard to race, color, religious creed, ancestry, national origin, age, sex, sexual orientation, sexual identity or handicap.

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