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Data Visualization Jobs in Pennsylvania (NOW HIRING)

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Stay current on BI, Snowflake, and data visualization best practices Project Ownership & Execution * Own projects end-to-end from intake through delivery * Manage multiple priorities and communicate ...

Data Analyst, Senior Specialist

Malvern, PA

$84K - $106K/yr

Demonstrates expertise in data visualization and mentors analysts on data visualization best practices. * Develops the analytics community at Vanguard by mentoring, coaching and connecting others ...

New

Implement data schemas, stored procedures, data pipelines, and data visualization artifacts Maintain services for ingestion, transformation, and loading of data from several data sources and small to ...

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 ...

We are seeking a data visualization expert with a passion for transforming complex data into clear, actionable insights for senior leadership. This role will support the Distribution organization ...

... data visualization techniques to large datasets. • Strong proficiency in Python, R, and associated data science libraries (e.g., Pandas, NumPy, SciPy, TensorFlow, PyTorch) as well as SQL/NoSQL ...

Data Analysis Tutor

Pittsburgh, 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 ...

AI Data Scientist Sr.

North East, PA · On-site

$120K - $160K/yr

Ability to use data visualization tools and libraries * Strong data exploration, data wrangling and feature engineering skills * Knowledge of application of supervised/unsupervised ML techniques

Data Analysis Tutor

Reading, 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 ...

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

Erie, 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 ...

Data Analysis Tutor

Allentown, 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 ...

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Data Visualization information

See Pennsylvania salary details

$54.1K

$109.7K

$161.9K

How much do data visualization jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data visualization in Pennsylvania is $109,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $123,300.00 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.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

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 demand across many 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.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions 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 Pennsylvania? The most popular types of Data Visualization jobs in Pennsylvania are:
What job categories do people searching Data Visualization jobs in Pennsylvania look for? The top searched job categories for Data Visualization jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Visualization jobs? Cities in Pennsylvania with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $109,713 per year, or $52.7 per hour.
Financial Data Analyst

Financial Data Analyst

Clark Associates

Lititz, PA • On-site, Remote

$65K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 hours ago


Clark Associates rating

8.0

Company rating: 8.0 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

96th of 368 rated retail wholesalers


Job description

Job Summary

Clark Associates is seeking a driven and detail-oriented Financial Data Analyst to join the Financial Systems & Data team. In this role, you will work directly with The Restaurant Store Accounting team as well as the broader Clark Associates Finance organization to deliver reporting, analysis, and insights that support strategic decision-making and operational efficiency.  


This role requires strong collaboration across Finance and Accounting teams, with an emphasis on understanding business context, improving reporting accuracy, and enabling decision-making through scalable data solutions. 


This role is a preferred hybrid role, if you are local to Lititz, PA, with one day in the office a week to ensure valuable face time with the team. 

Responsibilities

Reporting & Data Storytelling 

  • Translate financial and operational data into clear, accurate, and actionable insights  
  • Build and maintain Power BI and Excel-based reporting solutions aligned to business needs  
  • Anticipate stakeholder needs and structure analyses to answer key business questions  
  • Ensure reporting is accurate, consistent, and aligned with defined data and metric standards  

Stakeholder Collaboration & Business Partnership 

  • Partner with stakeholders to understand business goals, constraints, and reporting needs  
  • Translate business problems into structured analytical questions and reporting solutions  
  • Collaborate on KPI definitions, report design, and data requirements to ensure alignment  
  • Set clear expectations around timelines, scope, and deliverables  

Business & Financial Acumen 

  • Apply financial knowledge to contextualize reporting and analysis  
  • Connect insights to broader business strategy, KPIs, and operational performance  
  • Understand how financial and operational processes impact reported results  

Data Modeling & Reporting 

  • Extract and combine data from multiple sources (Snowflake, SQL, Excel, semantic models, etc.)  
  • Develop and interpret SQL queries and DAX measures to support analysis  
  • Validate data accuracy, completeness, and consistency across reporting layers  
  • Build, enhance, and maintain Power BI data models and reporting solutions  
  • Ensure models are efficient, scalable, and aligned with best practices  


Process & Operational Support 

  • Maintain recurring operational reporting for The Restaurant Store Accounting team  
  • Identify opportunities to improve reporting consistency and automation  
  • Stay current on BI, Snowflake, and data visualization best practices  


Project Ownership & Execution 

  • Own projects end-to-end from intake through delivery  
  • Manage multiple priorities and communicate tradeoffs when needed  
  • Provide accurate timelines and structured project plans  
  • Independently manage stakeholder relationships with appropriate support as needed  
Physical Requirements
  • Work is performed while sitting/standing and interfacing with a personal computer.
  • Requires the ability to communicate effectively using speech, vision, and hearing.
  • Requires the regular use of hands for simple grasping and fine manipulations.
  • Requires occasional bending, squatting, crawling, climbing, and reaching.
  • Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.
Remote Work Qualifications
  • Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
  • Access to a home router and modem.
  • A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
  • A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
  • The desire and ability to work and communicate with other team members via chat, webcam, etc.
  • Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.
Experience
  • 2–4 years of professional experience in data analytics, finance, or a related role
  • Experience working with financial or operational datasets (strongly preferred)
  • Knowledge of finance or accounting concepts
  • Proficiency in Power BI or similar data visualization tools
  • Strong SQL skills, including experience working in cloud data environments (Snowflake preferred)
  • Advanced Excel skills required
  • Proficiency in Python, Power Automate, and Excel VBA (nice to have)
  • Experience leveraging AI tools (e.g., Claude, Copilot, or similar) to enhance analysis, reporting, modeling, and workflow efficiency
Education

This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.

Desired Traits & Skills
  • Strong analytical and problem-solving skills
  • Ability to work independently while managing multiple priorities
  • Strong communication skills, with ability to clearly present findings to stakeholders
  • Curiosity and initiative to explore data and identify opportunities without being prompted
  • Ability to think critically about business problems, not just execute requests
  • Interest in building scalable, sustainable reporting rather than one-off solutions
Company Overview

A rapidly growing, multi-divisional company headquartered in Lancaster, Pennsylvania with services supporting all of Clark’s distribution methods in the food service industry.

Benefits
  • Medical
  • Vision
  • Dental
  • PTO
  • Paid Maternity Leave
  • Paid Parental Leave
  • Life Insurance
  • Disability
  • Dependent Care FSA
  • 401(k) matching
  • Employee Assistance Program
  • Wellness Incentives
  • Company Discounts
  • AT&T & Verizon Discount
  • Bonus Opportunities
  • Accident Insurance
  • Critical Illness Insurance
  • Adoption Assistance
Available at HQ Locations Only
  • On-Site Fitness Centers
  • Dog-friendly Offices

What Clark Associates employees say

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Benefits

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