PRA Group
PRA Group

22 Pra Group Data Analyst Jobs Hiring Near You

Senior Data Analyst

Charlotte, NC

$84K - $106K/yr

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a ... Interprets data to identify business trends, conduct root cause analysis of business problems, or ...

Senior Data Analyst

Norfolk, VA

$83.20K - $105K/yr

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a ... Interprets data to identify business trends, conduct root cause analysis of business problems, or ...

Senior Data Analyst

Norfolk, VA · On-site

$83.20K - $105K/yr

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a ... Interprets data to identify business trends, conduct root cause analysis of business problems, or ...

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a ... Strong data analysis capability with technical knowledge. * Strong excel skills (charts/graphs ...

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a ... High School Diploma/GED required, Associate's degree preferred. * 1-3 years in a Data Analyst Role

... PRA Group, a diverse and growing company that has a tangible impact on the global economy. Position Summary: Responsible for computing, classifying, recording and verifying numerical data for use in ...

... PRA Group, a diverse and growing company that has a tangible impact on the global economy. Position Summary: Responsible for computing, classifying, recording and verifying numerical data for use in ...

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a ... Compile and provide analysis of reports to include cash receipts and expenditures, accounts payable ...

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a ... Compile and provide analysis of reports to include cash receipts and expenditures, accounts payable ...

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a ... Troubleshoot complex system and integration issues, perform rootcause analysis, and provide crisis ...

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PRA Group Jobs Information

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 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.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

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.

What are the most popular categories at Pra Group?
Infographic showing various Data Analyst job openings at Pra Group in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 76% Physical, and 24% Hybrid job distribution.
Collections Recovery Business Analyst (PowerBI + SQL)

Collections Recovery Business Analyst (PowerBI + SQL)

PRA Group

Norfolk, VA • On-site

Full-time

Posted 18 days ago


Job description

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a tangible impact on the global economy.

Position Summary: 

Are you a data-driven problem solver with excellent business analysis skills, along with experience in Collections Recovery area? Are you skilled in report generation, building dashboards, with a keen ability to translate complex technical findings into practical and impactful decisions?

PRA Group is hiring a Collections / Reporting Business Analyst to join our Agency Management team - a function that works closely with senior leaders and third-party collection agencies to drive strategy, performance, and results across the collections space.

This isn't just another reporting job. You will analyze data trends and make business strategy recommendations to Leadership. You'll own the entire reporting lifecycle, from writing SQL queries and building dashboards in Power BI, forecasting performance and uncovering insights and noting data trends to help drive our collections strategy and critique agency performance.

Important: To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.


What We're Looking For:

  • Must have experience in collections, recovery management, or related financial operations
  • Advanced Power BI and SQL skills-able to build dashboards and data models from scratch
  • Strong understanding of collections metrics, inventory flow, and performance levers
  • Experienced with analyzing operational data trends and making business strategy recommendations to Leadership
  • Background in agency management, workforce planning, or credit operations is a plus
  • Comfortable working independently and engaging with senior leadership
  • Detail-oriented, resourceful, and energized by process improvement and performance analytics

What You'll Be Doing:

  • Designing and building dashboards in Power BI from scratch
  • Writing advanced SQL queries to extract, clean, and model data
  • Forecasting performance, inventory flow, and resource needs across collections portfolios
  • Analyzing operational trends and recommending improvements in agency performance
  • Partnering with senior leadership and third-party agencies on collections strategy
  • Automating reporting and creating scalable analytics tools
  • Presenting insights and training teams on new reporting tools


Sound like you? We'd love to hear from you. Apply now!


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All qualified applicants will receive consideration for employment regardless of age, race, color, sex, gender, religion, national origin, physical or mental disability, citizenship, or any other classes recognized by state or local law or any other characteristic protected under applicable federal, state or local law. We are a drug free workplace.

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.