Exposure to data analytics, process modeling, visualization tools, manufacturing intelligence platforms, or digital workflow tools. * Knowledge of continuous improvement methodologies and data-driven ...
Exposure to data analytics, process modeling, visualization tools, manufacturing intelligence platforms, or digital workflow tools. * Knowledge of continuous improvement methodologies and data-driven ...
Entry Level Data Visualization information
See Pennsylvania salary details
$10.60 - $12.09
1% of jobs
$12.09 - $13.58
3% of jobs
$13.58 - $15.07
11% of jobs
$16.03 is the 25th percentile. Wages below this are outliers.
$15.07 - $16.56
15% of jobs
$16.56 - $18.05
19% of jobs
The median wage is $18.15 / hr.
$18.05 - $19.54
16% of jobs
$20.89 is the 75th percentile. Wages above this are outliers.
$19.54 - $21.03
11% of jobs
$21.03 - $22.52
9% of jobs
$22.52 - $24.01
7% of jobs
$24.01 - $25.50
4% of jobs
$25.50 - $26.99
3% of jobs
$10
$19
$26
How much do entry level data visualization jobs pay per hour?
What is an entry level data visualization?
An Entry Level Data Visualization job involves creating charts, graphs, and dashboards to help analyze and communicate data effectively. Professionals in this role use tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn) to present data in a clear and visually appealing way. They often work with data analysts and business teams to transform raw data into insights that drive decision-making. Strong analytical skills, attention to detail, and basic programming or SQL knowledge can be helpful in this role.
What are the key skills and qualifications needed to thrive in the entry level data visualization position, and why are they important?
To thrive as an Entry Level Data Visualization professional, you need a solid understanding of data analysis, basic statistical concepts, and visual storytelling, typically supported by a bachelor’s degree in a related field. Familiarity with tools such as Tableau, Power BI, or Excel, and basic programming knowledge in Python or R, are commonly expected and may be enhanced by certifications in data analytics or visualization. Strong communication, attention to detail, and a collaborative attitude help you explain complex data insights to diverse audiences and work effectively within cross-functional teams. These skills and qualities are essential for translating data into actionable insights and creating impactful visuals that inform business decision-making.
What are the typical day-to-day responsibilities of someone in an entry level data visualization role?
Entry Level Data Visualization professionals usually spend their days gathering data from various sources, cleaning or preparing it for analysis, and building charts, graphs, or dashboards to present findings. You’ll often collaborate with analysts, project managers, or business teams to understand project requirements and iterate on visual solutions based on feedback. Reviewing data accuracy, updating reports, and attending team meetings to discuss progress or new projects are also common. This role offers a great opportunity to sharpen both technical and communication skills while playing a key part in how your organization makes data-driven decisions.
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 are popular job titles related to Entry Level Data Visualization jobs in Pennsylvania?
For Entry Level Data Visualization jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Visualization jobs in Pennsylvania look for?
The top searched job categories for Entry Level Data Visualization jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Entry Level Data Visualization jobs?
Cities in Pennsylvania with the most Entry Level Data Visualization job openings:

Full-time
Posted 13 days ago
Job description
Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.
At Qnity, we're more than a global leader in materials and solutions for advanced electronics and high-tech industries - we're a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.
At Qnity, our Early Career LEAP Rotational Program is designed to develop the next generation of engineering leaders through meaningful experiences across manufacturing, technology, automation, digital, and operations. We are seeking curious, agile, and collaborative engineers who are eager to solve complex challenges,leverageemerging technologies, drive innovation, and make a measurable impact from day one.
Through structured rotational assignments, participants gain broad business exposure, technical expertise, leadership development, and mentorship while building a strong foundation for long-term career success at Qnity. Participants will have opportunities to work on initiatives involving advanced manufacturing technologies, automation systems, digital manufacturing, smart factory concepts, process optimization, data analytics, and operational excellence.
In this program, you will contribute to projects focused on process improvement, product quality, equipment reliability, safety, automation, digital transformation, manufacturing intelligence, and business performance.
Rotational Opportunities May Include
Production/Process Engineering
Manufacturing Technology
Automation & Process Control
Digital Manufacturing & Smart Factory Initiatives
Equipment Reliability & Maintenance
Continuous Improvement
Product Quality
Technical Service
Operations Leadership
Data Analytics & Process Optimization
Program Locations
Participants may complete rotations at one or more of the following U.S. locations:
Wilmington, DE
Newark, DE
Marlborough, MA
Schaumburg, IL
Bayport, TX
Circleville, OH
Towanda, PA
Minimum Qualifications
Pursuing or holding a Bachelor's or Master's degree in Chemical Engineering, Mechanical Engineering, Electrical Engineering, or a related engineering discipline from an ABET-accredited institution at the time of employment.
Minimum GPA of 3.0 on a 4.0 scale.
At least six months of relevant paid internship, co-op, or equivalent engineering experience.
Legal right to work in the U.S. without current or future need for visa sponsorship.
Program Expectations
100% geographic flexibility to support developmental opportunities across program locations.
Willingness to relocate as business and development needs require.
Willingness to provide plant or manufacturing area support, including on-call responsibilities when required.
Commitment to completing a structured rotational program consisting of a minimum of 3 assignments, each approximately 18 months.
Ability to work effectively in manufacturing, operations, technical, automation, and digital manufacturing environments while collaborating across multiple functions.
Preferred Qualifications
Demonstrated leadership experience through academic, professional, or extracurricular activities.
Strong initiative, adaptability, learning agility, and problem-solving skills.
Experience with automation, controls, robotics, manufacturing systems, or digital technologies.
Exposure to data analytics, process modeling, visualization tools, manufacturing intelligence platforms, or digital workflow tools.
Knowledge of continuous improvement methodologies and data-driven decision making.
Six Sigma Green Belt certification, or willingness to obtain certification during the program.
Exposure to root cause analysis, process hazard analysis, manufacturing operations, process safety, or automated production systems.
Why Join Qnity?
Join an industry-leading, world-class company with deep materials scienceexpertise, advanced manufacturing capabilities, and a strong culture of innovation. As a member of the Early Career LEAP Rotational Program, you will gain experience across multiple engineering disciplines while helping drive the future of manufacturing through automation, digital technologies, data-driven decision making, and continuous improvement.
You will work alongside experienced technical and business leaders, build a powerful professional network, and develop the technical, operational, automation, digital manufacturing, and leadership capabilities needed to accelerate your career. Our rotational program provides a unique opportunity to gain exposure to both engineering fundamentals and the advanced manufacturing technologies shaping the future of the industry.
You will become part of a distinguished community of program alumni who have advanced into key technical, operational, and business leadership roles across Qnity.
Join our Talent Community to stay connected with us!
Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit ourAccessibility Page for Contact Information.
Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.
We use Artificial Intelligence (AI) to enhance our recruitment process.
About Qnity
Sourced by ZipRecruiter
Industry
Education programs administration
Company size
11 - 50 Employees
Headquarters location
Minneapolis, MN, US
Year founded
2009