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Data Visualization Jobs in Philadelphia, PA (NOW HIRING)

Sr Data Analyst

Philadelphia, PA · Hybrid

$86K - $109K/yr

Highly proficient in data visualization tools (PowerBI Report Builder/SSRS or Tableau). Experience in management reporting, report creation process and dashboard design. Highly proficient in ...

Sr Data Analyst

Wilmington, DE · Hybrid

$83K - $105K/yr

Highly proficient in data visualization tools (PowerBI Report Builder/SSRS or Tableau). Experience in management reporting, report creation process and dashboard design. Highly proficient in ...

Data Analyst

Bridgeport, PA · On-site

$70K - $85K/yr

Conshohocken, PA Salary: $70,000 - $85,000 Overview We are seeking a Data Analyst with 3-5 years of experience to support reporting, analytics, and data visualization initiatives. The ideal candidate ...

Data Analysis Tutor

Trenton, NJ · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Our work includes data preparation and transformation, discovery analysis, experimental design ... Reporting and Visualization * Prepare and deliver visualizations and internal presentations that ...

Data Analysis Tutor

Chester, PA · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Our work includes data preparation and transformation, discovery analysis, experimental design ... Reporting and Visualization * Prepare and deliver visualizations and internal presentations that ...

Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this ...

Showing results 41-60

Data Visualization information

See Philadelphia, PA salary details

$51.6K

$104.6K

$154.3K

How much do data visualization jobs pay per year?

As of Aug 11, 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 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.
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 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, 78% Full Time, 15% Part Time, 1% Temporary, and 5% 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.

Sr Data Analyst

Dlapiper

Philadelphia, PA • Hybrid

$86K - $109K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading analytics projects, advancing the firm's data innovation efforts, and applying advanced analytical techniques to support strategic decision-making. This role requires strong analytical and technical skills, financial acumen, and a passion for leveraging data to drive business outcomes.

The Sr Data Analyst uses tools such as Power Desktop/Power BI Report Builder (SSRS) to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve data quality issues. This individual leads large-scale analytical initiatives, mentors' junior analysts, and collaborates with stakeholders to prioritize business needs and deliver actionable insights.

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation skills. The role also involves fostering collaboration, driving continuous improvement, contributing to the firm's data strategy, and ensuring timely, accurate deliverables. Working closely with functional leads across the firm, this position conducts research, analyzes and presents data to identify trends, forecast outcomes, and support informed decision-making related to financial performance. Duties will include financial performance data analysis and presentation, interpreting data from analysis using statistical techniques, reporting, forecasting, developing and implementing data collection techniques to optimize statistical efficiency.


Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.
Responsibilities

  • Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact analytics, forecasting, reporting and insight-driven solutions.

  • Collaborate with FP&A, Service Delivery, Senior Finance leadership and other key stakeholders to identify and prioritize complex business problems.

  • Implement best practices and innovative solutions to enhance data integrity.

  • Drive and manage large-scale analytical projects that span multiple teams and functions.

  • Coordinate cross-functional efforts to ensure project alignment with business objectives and successful execution.

  • Analyze trends and derive actionable insights to address complex business challenges.

  • Design and develop advanced solutions to streamline processes, improve data quality, and drive intelligent automation.

  • Champion continuous improvement initiatives to enhance operational efficiency and effectiveness.

  • Engage with stakeholders at all levels to understand their needs and provide tailored data solutions.

  • Strong communication and financial storytelling skills with both technical and non-technical stakeholders.

Desired Skills

Strong analytical and problem-solving skills, with the ability to interpret large complex datasets, identify trends and provide actionable data-driven insights. Highly proficient in data visualization tools (PowerBI Report Builder/SSRS or Tableau). Experience in management reporting, report creation process and dashboard design. Highly proficient in Microsoft office, with advanced skills in Excel, including complex formulas, pivots tables, data analysis, VBA, and data visualization techniques. Experience with advanced statistical methods and data modeling techniques. Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming languages.

Demonstrated experience in creation of complex queries, data manipulation, and automation of data processes. Experience/Interest in Machine Learning and AI implementation. Demonstrated problem-solving skills and the ability to adapt to changing business needs. Ability to work independently and as part of a team. Attention to detail and high level of accuracy in work.
Minimum Education

  • Bachelor's degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field.

Minimum Years of Experience

  • 4 years' experience in a experience as a Data Analyst or similar role including experience with data modeling, statistical analysis and processes.


Essential Job Expectations

All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:

  • Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.

  • Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner.

  • Meet deadlines, manage competing priorities, and commit to meeting high standards.

  • Comply with firm policies and procedures.

  • Maintain confidences as required in a law firm environment.

Physical Demands

Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international.

Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.

Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Interested candidates must apply directly online. Application materials sent via email will not be accepted.

Accommodation

Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.

This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment.

We are committed to excellence in how we serve our clients and develop our people.
The firm's expected hiring range for this position is $89,991 - $143,088 per year depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits, including medical/dental/vision insurance, and 401(k).
Applicants who are not based in thejurisdictionin which this position is posted and who apply for this role are doing so voluntarily and are not eligible for relocationassistance. Anyrelocationbenefits, if any, are provided only where a relocation isrequiredat the firm's direction andin accordance withapplicable policy and law.

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.