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Entry Level Data Analyst Jobs in Scranton, PA (NOW HIRING)

Accounts Receivable Analyst

Moosic, PA

$23 - $29.50/hr

... data-driven team where you will have the opportunity to directly contribute to the success of our ... Whether you're entry-level or have several years of experience, we have a proven track record of ...

Extracts, processes, and summarizes test data. Performs routine analysis to check accuracy ... Individual Contributor / Entry - Level * Reports to: R&D Scientist * Location: Scranton, PA

The Operational Excellence Specialist is an entry level position. It is both, a facilitative leader ... Collaborates with plant team to conduct process analysis and performance reporting in support of ...

Entry Level Data Analyst information

See Scranton, PA salary details

$13

$32

$61

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

As of Aug 6, 2026, the average hourly pay for entry level data analyst in Scranton, PA is $32.59, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.39 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
What are the most commonly searched types of Data Analyst jobs in Scranton, PA? The most popular types of Data Analyst jobs in Scranton, PA are:
What are popular job titles related to Entry Level Data Analyst jobs in Scranton, PA? For Entry Level Data Analyst jobs in Scranton, PA, the most frequently searched job titles are:
What cities near Scranton, PA are hiring for Entry Level Data Analyst jobs? Cities near Scranton, PA with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Scranton, PA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,795 per year, or $32.6 per hour.

$23 - $29.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

IAB has an exciting opportunity for a results-driven, tech savvy, sharp professional who is interested in challenging accounts receivable work. No experience in A/R or deductions? No problem! We have a training program and small teams to ensure you get the attention you need to thrive.

As a member of our highly successful team of Accounts Receivable Analyst, you will be part of a collaborative, focused, data-driven team where you will have the opportunity to directly contribute to the success of our company and your career. Whether you're entry-level or have several years of experience, we have a proven track record of promoting from within; IAB can support your career growth!

The Accounts Receivable Analyst partners with an IAB client, researching and resolving Accounts Receivable pain points in the world of Deductions. You'll be an A/R superhero for our clients, helping to drive money back to their bottom-line that they otherwise may have missed out on. You must enjoy problem solving, having the ability to juggle multiple open programs at once, have excellent organizational skills, ability to prioritize follow-ups and be politely persistent until you can resolve outstanding deductions.

The Accounts Receivable Analyst reports to a Project Manager and is responsible for validating and monetizing deductions, using problem solving skills to identify recovery opportunities by submitting disputes on behalf of our clients along with analyzing data gathered through IT automation and their own research.

Other key responsibilities include:

  • Maintaining accurate data on proprietary IAB systems as well as web portals used by our clients customers (think: large retailers, logistics carriers)
  • Meticulously analyzing customer remittances and deduction documentation.
  • Extensive email and occasional phone communication
  • Handling multiple responsibilities and consistently following high standards of business/professional ethics when dealing with others and performing work activities

Requirements:

  • High School Diploma or equivalent
  • Good verbal and written communication skills
  • Highly motivated, organized, reliable and detail-oriented
  • Can-do attitude with ability to work independently within a team environment
  • Problem solver with strong analytical skills
  • Ability to learn quickly in a fast paced, innovative environment
  • Microsoft Excel proficiency preferred, but not required
  • A/R Deduction knowledge a plus, but not expected.
  • Experience in SAP or other ERP systems is a plus, but not expected.
  • Must maintain client confidentiality

We offer a comprehensive benefit package including:

  • Health, Dental, and Vision Insurance
  • Company Paid Life Insurance
  • 401k with Match
  • Discretionary Incentive Bonuses
  • Yearly Compensation Review
  • Paid Vacation and Holidays
  • Excellent Opportunities for Career Growth
  • Tuition Reimbursement

Experience is a plus but we are excited to train the right candidate.

IAB Solutions, LLC is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability status, protected veteran status, national origin, or any other characteristic protected by law.