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Data Visualization Jobs in Philadelphia, PA (NOW HIRING)

... data visualization using Tableau (mandatory) or Power BI (optional); able to create clear, compelling dashboards for non-technical audiences. - Hands-on experience with Databricks (mandatory) or ...

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Data Visualization information

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$51.6K

$104.6K

$154.3K

How much do data visualization jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data visualization in Philadelphia, PA is $104,605.00, 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 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.

What are the most commonly searched types of Data Visualization jobs in Philadelphia, PA?

The most popular types of Data Visualization jobs in Philadelphia, PA are:

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

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

What job categories do people searching Data Visualization jobs in Philadelphia, PA look for?

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

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

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

Infographic showing various Data Visualization job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $104,605 per year, or $50.3 per hour.

Junior Data Analyst

Fairless Hills, PA • On-site

Silvi Concrete Products, Inc.
Construction • 201 - 500 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Overview

Title of Position: Junior Data Analyst

Location: Fairless Hills, PA (Fully On-Site)

Industry Leading Benefits: Medical, Prescription, Dental, Vision, 401K, Pension, Short- and Long-Term Disability, Life Insurance, Tuition Reimbursement.

Silvi Materials has been expanding our "A" Team of employees since 1947! Our team has grown to 15+ companies, employing over 950 people across 30+ locations in Southeastern Pennsylvania, New Jersey, and North Carolina.  Silvi is large enough to provide the stability you need, but small enough that you can feel your individual contribution to our success.  We value the fresh ideas and perspectives of each new member of our team.

What does Silvi Materials offer you, you may ask?

  • Phenomenal Benefits: Medical, Vision, Dental, Prescription, Vacation, Paid Holidays, and so much more!
  • Your future in mind: With 401(k) (at select locations) and/or pension options. We want all employees to build a great retirement!
  • Growth at Silvi Materials: We offer each employee the opportunity to move into any facet of our complex business. And our tuition reimbursement program is the perfect springboard to help you get there!

So, what does a Junior Data Analyst do?

A Junior Data Analyst extracts, migrates, cleanses, and organizes raw data to ensure accuracy for business intelligence needs. Key responsibilities include data querying, validation, database maintenance, and dashboards development to support team insights.

Key Responsibilities

  • Data Cleaning and Transformation: Clean, interpret, organize, and validate data to ensure accuracy and consistency multiple sources.
  • Database Management: Utilize tools such as SQL and/or Python to query, extract, and maintain databases.
  • Quality Assurance: Identify and resolve data inconsistencies or missing information.  Communicate data validation activities, monitor data quality, and coordinate remediation plans to maintain the accuracy of integrated data.
  • Reporting and Visualization: Conduct data analyses using statistical techniques and data visualization tools.  Identify patterns, trends, and correlations in datasets.  Create and update dashboards, charts, and reports to communicate findings.
  • Documentation: Develop detailed documentation of data processes/flows, decisions, and configurations to meet compliance and training requirements.
  • Collaboration: Partner with technical and functional stakeholders to align data activities with business objectives.
  • Manage deliverables in accordance with project plans.
  • Contribute to the development and review of Standard Operating Procedures (SOPs), ensuring data practices adhere to organizational standards and requirements.
  • Effectively collaborate with stakeholders by translating technical terminology and processes; support drive data driven decision making.
  • Contribute to the development of a complete data lake and/or data warehouse solution.
  • Support the continuous improvement of data quality and data management processes.

Qualifications & Experience

  • Education: Bachelor's degree in Information Systems, Computer Science, Mathematics, Statistics, Business Administration, Engineering or a related field is required.
  • Technical Proficiency:Proficiency in SQL and Excel is required, with experience in Python or R preferredKnowledge of InterBase scripting is a plus.
  • Analytical Skills:Ability to troubleshoot complex software issues and analyze data to guide decision-making.
  • Understanding of visualization tools such as Power BI.
  • Experience supporting complex system implementations or upgrades is a plus.
  • Ability to collect, organize, and analyze large datasets is a plus.
  • Excellent problem-solving abilities, time management skills, and attention to detail.
  • Experience with ITSM systems like DevOps or Jira is a plus.
  • Experience with data warehouses and/or data lakes is a plus.
  • Knowledge and use of the Microsoft Office Suite is required.
  • Ability to effectively manage multiple priorities in a dynamic environment.

Physical Demands

In a typical work setting, people in this job:

  • Use hands/fingers to type and move office objects
  • Sit for long periods of time
  • Hear sounds and recognize the difference between them
  • See details of objects that are less than a few feet away and far distances
  • See differences between colors, shades, and brightness.
  • Lift 20 pounds on occasion
  • Kneel, stoop, crouch, bend, stretch, twist or crawl, on occasion

Silvi Materials does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor

Employment Type: FULL_TIME