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Data Visualization Jobs in Downingtown, PA (NOW HIRING)

OCUGEN OPCO INC

Clinical Data Scientist

Malvern, PA · On-site

Success in this role requires strong programming and data visualization skills, along with the ability to translate complex clinical data into clear, actionable insights for both internal and ...

Ocugen Inc

Clinical Data Scientist

Malvern, PA · On-site

Success in this role requires strong programming and data visualization skills, along with the ability to translate complex clinical data into clear, actionable insights for both internal and ...

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All JobsData Visualization JobsData Visualization Jobs in Downingtown, PA

Data Visualization information

See Downingtown, PA salary details

$56K

$113.5K

$167.5K

How much do data visualization jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data visualization in Downingtown, PA is $113,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $127,500.00 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 job categories do people searching Data Visualization jobs in Downingtown, PA look for?

The top searched job categories for Data Visualization jobs in Downingtown, PA are:

What cities near Downingtown, PA are hiring for Data Visualization jobs?

Cities near Downingtown, PA with the most Data Visualization job openings:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Downingtown, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $113,490 per year, or $54.6 per hour.

Data Visualization Manager

JPMorgan Chase & Co.

Wilmington, DE • On-site

$120 - $170/hr

Other

Posted 4 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 173 rated banks

Job description

Have an opportunity to redefine how a major Finance organization makes decisions — and grow your career while you do it. You will combine best-in-class business intelligence with applied artificial intelligence to deliver insights that reach the most senior leaders. You will move the team beyond static dashboards toward natural-language, decision-ready experiences. This is a high-visibility, high-autonomy role for a hands-on technical leader who wants to set standards and build something durable. It begins as a senior individual contributor position and is designed to grow into formal people leadership as the portfolio scales.

As a Data Visualization Manager, Vice President on the Finance Data & Insights team, you will deliver executive-grade insights and artificial-intelligence-enabled experiences that help our most senior Finance leaders make faster, higher-confidence decisions. You will own the full lifecycle of our visualization and conversational analytics products from framing the problem and modeling the data to designing the experience, deploying it, and driving adoption. You will build guided self-service and natural-language tools that let leaders explore performance drivers, scenarios, and risk-and-return trade-offs in plain language. You will partner closely with Finance, Product, Data Engineering, and platform teams to keep everything secure, compliant, and production-grade. Most importantly, you will translate leadership questions into trusted data products and high-performing experiences. You will modernize the team's analytics delivery, partnering across Finance, Product, Data Engineering, and platform teams to ensure solutions are secure, compliant, and production-grade. You will personally drive the technical translation from leadership questions into governed data products and performant experiences.

Job Responsibilities
  • Influence the analytics product portfolio for Finance, including roadmap, backlog, prioritization, and value delivery.
  • Design and deliver executive-grade dashboards and narratives in ThoughtSpot, Databricks, and Tableau, aligned to governed metrics and finance definitions.
  • Build artificial-intelligence-enabled conversational analytics using Databricks Genie and ThoughtSpot Spotter, including interaction design, evaluation, and monitoring.
  • Partner with Data Engineering to ensure data quality, timeliness, lineage, and scalable architecture, validating semantic models and metric logic hands-on.
  • Implement controls suited to a regulated environment, including access controls, privacy-by-design, and alignment to model, data, and operational risk expectations.
  • Drive adoption through enablement, training, documentation, and measurable usage tracking with clear leadership feedback loops.
  • Provide strong executive presence in senior Finance forums, framing insights, drivers, and recommended actions concisely.
  • Establish technical and delivery standards and mentor analysts and visualization specialists through structured coaching and review.
Required qualifications, capabilities, and skills:
  • Experience delivering data solutions and analytics for Finance stakeholders.
  • Demonstrated production delivery in Tableau and/or ThoughtSpot, including dashboard design and metric architecture.
  • Hands-on experience with the Databricks platform, including contributing to technical design discussions on semantic modeling and performance.
  • Advanced SQL skills and the ability to validate datasets and logic end-to-end.
  • Demonstrated ability to translate business questions into analytical products, including requirements definition and acceptance criteria.
  • Experience building and maintaining a backlog independently based on stakeholder needs.
  • Demonstrated experience setting quality standards and mentoring analysts.
  • Demonstrated risk and control practices in a regulated environment, including data access governance and change management for reporting.
Preferred qualifications, capabilities, and skills:
  • Experience building or product-managing conversational analytics or natural-language query experiences, including quality evaluation and guardrails.
  • Experience with Databricks Genie and/or ThoughtSpot Spotter to enable governed self-service.
  • Proficiency with Alteryx for workflow automation and repeatable data preparation.
  • Finance domain knowledge
  • Experience establishing analytics governance, such as metric-definition standards, release management, and adoption measurement.
  • Familiarity with model risk management and artificial-intelligence governance in regulated environments.
  • Prior formal people-management experience (hiring, performance management, and team development).
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