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Entry Level Data Analysis Jobs in Philadelphia, PA

Pwc

AI & GenAI Data Scientist - Manager

Philadelphia, PA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Cornelis Networks

Thermal Design Engineer

Wayne, PA · Hybrid

Cornelis Networks is hiring a talented Entry-Level Thermal Engineer with a foundational ... Data Analysis & Reporting: Analyze thermal test data, summarize findings, and contribute to formal ...

Cornelis Networks

Thermal Design Engineer

Wayne, PA · On-site

Cornelis Networks is hiring a talented Entry-Level Thermal Engineer with a foundational ... Data Analysis & Reporting: Analyze thermal test data, summarize findings, and contribute to formal ...

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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Philadelphia, PA

Entry Level Data Analysis information

See Philadelphia, PA salary details

$13

$33

$62

How much do entry level data analysis jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level data analysis in Philadelphia, PA is $33.23, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $37.12 per hour, depending on experience, location, and employer.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

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

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

What are popular job titles related to Entry Level Data Analysis jobs in Philadelphia, PA?

For Entry Level Data Analysis jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analysis jobs in Philadelphia, PA look for?

The top searched job categories for Entry Level Data Analysis jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Entry Level Data Analysis jobs?

Cities near Philadelphia, PA with the most Entry Level Data Analysis job openings:

Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Philadelphia, PA as of August 2026, with employment types broken down into 89% Full Time, 5% Temporary, and 6% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $69,110 per year, or $33.2 per hour.

Data & Analytics Technology Consulting Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Philadelphia, PA

$29.25 - $48/hr

Full-time

Posted 4 days ago

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity


As a Data & Analytics Technology Consulting - Intern, you will engage in projects that focus on learning and gaining exposure to PwC's practices, while supporting teams with basic tasks and conducting research. Within our Advisory practice, you will have the chance to work alongside experienced professionals who guide clients towards sustainable growth and competitive advantage in today's dynamic market. This role offers a unique opportunity to observe and participate in the development of data-driven solutions, leveraging data science, analytics, and artificial intelligence to drive innovation and gain a competitive edge.


As an Intern, you will support teams by participating in projects, focusing on learning and gaining exposure to PwC practices. You will perform basic tasks and conduct research while observing professional work environments. In this role at PwC, you will be encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team's success. This is an entry-level position where you will start to establish your personal brand, paving the way to more opportunities within the firm.


Responsibilities


- Supporting teams in data analysis and research to gain insights and contribute to project goals

- Participating in the development and implementation of data-driven solutions using tools like Power BI and Tableau

- Assisting in the creation of data visualizations to communicate complex data insights effectively

- Engaging in algorithm development and machine learning tasks to enhance data processing capabilities

- Conducting research and gathering information to support data validation and security measures

- Utilizing Microsoft SQL Server Data Tools and Python for data manipulation and analysis

- Collaborating with team members to apply predictive analytics and generate actionable insights

- Observing and learning from experienced professionals to understand data analytics methodologies and practices

- Applying a learning mindset to develop skills in data analytics and artificial intelligence technologies


What You Must Have


- Currently pursuing or have completed a Bachelor's degree

- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year


What Sets You Apart


- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems

- Preferred cumulative GPA: 3.3

- Preferred major GPA: 3.3

- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

- Developing skills in algorithm development and machine learning

- Utilizing tools like Alteryx, Power BI, and Tableau for data visualization

- Conducting analytic research to drive data-driven insights

- Applying Python programming for predictive analytics and data processing

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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