> Markdown version of [/jobs/ext/3093444-reporting-data-analyst](https://www.wearedevelopers.com/jobs/ext/3093444-reporting-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Reporting Data Analyst - **Company:** PRA Group - **Location:** Norfolk, VA, United States - **Experience:** Experienced - **Salary:** $73,900.0 - $110,900.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Microsoft Excel, Data Analysis, Big Data, Spreadsheets, Software Documentation, Databases, Data Cleansing, Data Mining, Data Visualization, Github, Statistical Hypothesis Testing, Microsoft SQL Server, Open Database Connectivity, Oracle (Applications), Power BI, Standard Sql, Software Systems, SQL Databases, Tableau (Software), Transact-SQL, Microsoft Fabric, Data Programming, Qlikview, Text Files - **Published:** September 26, 2026 - **Apply:** https://pra.wd1.myworkdayjobs.com/PRA_Careers/job/Norfolk-VA/Reporting-Data-Analyst_22092 ## About the Role * Intermediate-level experience in Data Mining, Data Analysis, Report building and SQL with strong data mining/data visualization capabilities * Experience with creating dashboards using either Power BI, Tableau or Qlik * Prefer someone with experience working with Excel and GitHub * 1-3 years of professional work experience. * Good understanding and curiosity regarding business as well as ability to communicate effectively with stakeholders * Education: BA/BS in a Science, Technology, Engineering, Mathematics (STEM) or quantitative field Solid working experience with: * Ability to write SQL code for intermediate query level functioning doing inner, left and right joins, etc. * Importing/exporting data into SQL Server from various sources (text files, spreadsheets, Access DBs) * Creating ODBC connections to SQL Server from Excel Spreadsheets or Access DBs so that end users can refresh reports directly in Excel or Access * Creating/Modifying/Executing T-SQL Queries and Scripts * Any experience with either Oracle or Microsoft Fabric is preferred * Mining, cleaning, and managing large data sets and troubleshoot data issues identified * Data preparation methods handling of missing data and general imputation ## Description Handles moderately complex issues and problems. Applies practical knowledge of principles and practices of area of specialty. Supports, but also leads simple to moderately complex projects and programs. Designs, develops, implements, and maintains data programming solutions for data quality and business rules analysis, hypothesis testing, champion/challenger testing, and product or strategy decision advancements. Maintains a techical process expertise through understanding of the software solutions, technical steps, and underlying data used to execute the decisioning. Subject matter expert on the input and output of data to support any research or advancements. Programs for the desired workflow of data decisions and hypothesis testing. Maintains a quality and control aspect of the data execution used for decision making. Is able to build data visualizations to report and inform others what is occuring in the underlying data. This is a hybrid position working onsite in our office 3 days per week., * Provide data mining, cleaning, and data analysis using database programming/mining tools. * Execution and troubleshooting of coding processes. * Conduct data analysis to identify the impact of process changes * Enhance the monitoring and control mechanisms to business processes to ensure we maintain compliance with policies and procedures. * Maintain documentation along with change management and testing documentation as required. * Support existing dashboards for activity performance as it relates to business processes being maintained by the department. * Research data issues and report and resolve discrepancies. * Assist other senior data leads in executing projects, ad-hoc request, or technical execution of changes when it comes to data or activities.