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Data Analyst Jobs in Scranton, PA (NOW HIRING)

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Data Analyst information

See Scranton, PA salary details

$33.7K

$81.8K

$134.6K

How much do data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst in Scranton, PA is $81,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

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 job categories do people searching Data Analyst jobs in Scranton, PA look for?

The top searched job categories for Data Analyst jobs in Scranton, PA are:

What cities near Scranton, PA are hiring for Data Analyst jobs?

Cities near Scranton, PA with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Scranton, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $81,805 per year, or $39.3 per hour.

Junior Artificial Intelligence Operations Specialist

Pride Mobility

Duryea, PA • On-site

$61K/yr

Full-time

Posted 16 days ago

Job description

Starting Salary: $61,500
DESCRIPTION/JOB SUMMARY
Support the implementation, operation, monitoring, and continuous improvement of Artificial Intelligence (AI) solutions to ensure they deliver safe, reliable, efficient, and measurable business value
RESPONSIBILITIES/DUTIES
• Assist in testing and validating AI tools
• Support the deployment and daily monitoring of enterprise AI or LLM integrations
• Help map and document workflows to identify automation opportunities and redesign processes for AI enablement
• Assist in pilot coordination and testing, capturing results, user feedback, and performance data
• Assist with identifying high-impact AI use cases aligned with business objectives and process improvement
• Work with Project Coordinators to ensure that all information is defined and collected
• Track and analyze adoption metrics and success measures, summarizing insights for leadership reviews
• Continuously learn about current AI trends, models, and regulatory considerations and translate them into actionable insights
• Work with all departments to align AI use cases to business outcomes
• Participate in team meetings to contribute ideas
• Develop and maintain technical documentation
• Ensure all safety and security rules are strictly observed and any accidents, incidents or injuries are promptly reported to management
• Focus on continuous improvement, and consistently demonstrate good business judgment
• Work effectively with all Pride departments to exceed internal and external expectations
• Pride retains the discretion to modify duties and/or assign other duties as necessary
REQUIRED SKILLS
• Must be a friendly team player, professional, detail-oriented, and honest
Must have the ability to:
• Multi-task, problem-solve, and prioritize in a fast-paced working environment
• Work and communicate effectively with multiple departments as a cross functional team
• Facilitate change, often with limited time constraints
• Explain technology to nontechnical employees
Must have:
• Relentless drive to achieve advancement and continuous improvement
• A strong interest in assessing, implementing and monitoring AI and automation
• Basic working knowledge of Microsoft Office Word, Excel, PowerPoint, CoPilot, and ChatGPT
• Basic working knowledge of Sharepoint, MS project or a similar project tracking application
• Basic working knowledge of generative AI and prompt engineering fundamentals
• Basic technical skills and a willingness to learn
• Excellent presentation, verbal and written communication skills
REQUIRED EXPERIENCE
• At least 6 months of hands-on experience using generative AI tools such as ChatGPT, Microsoft Copilot, Azure AI, or comparable platforms, in a professional or academic setting
PREFERRED EXPERIENCE
• At least 2 years of experience in IT, application support, automation, data analytics, or a related technical role preferred
REQUIRED EDUCATION
• Associate Degree in Computer Science, Data Analytics, Information Systems, AI or a related field
PREFERRED EDUCATION
• Bachelor's degree in Computer Science, Data Analytics, Information Systems, AI or a related field preferred
REQUIRED QUALIFICATIONS
• Must be legally authorized to work in the United States without sponsorship now, or in the future
DETAILS
• This job description is not intended to be all-inclusive
• In exceptional circumstances, some of the physical requirements of this position may be modified or eliminated as a reasonable accommodation for a person with a disability as defined by the Americans with Disabilities Act
Pride Mobility Products®/Quantum Rehab® is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, physical or mental disability, protected Veteran status, age, or any other characteristic protected by federal, state, or local law. Pride Mobility Products®/Quantum Rehab® is an Affirmative Action Employer with obligations under VEVRAA and Section 503 of the Rehabilitation Act of 1973 for protected veterans and individuals with disabilities.
If you are a person with a disability, a disabled veteran, or require a reasonable accommodation or assistance in completing an application for employment, please contact our human resources department at 1-800-800-8586 x1250.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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