Hybrid Data Analytics & Visualization Specialist

RiseMe; Norfolk (VA); Hybrid; USD 74,000 - 111,000; Full time

Benefits offered by this job

Paid time off

Health benefits

401k match

Life insurance

Bonus programs

Job summary

PRA Group is seeking a data-focused professional to design and maintain data programming solutions for data quality and business rules analysis. The role involves building data workflows, validating data inputs/outputs, and creating visualizations to inform decision making.

Hybrid position: onsite 3 days per week. 1-3 years experience in data mining/analysis and BA/BS in STEM or quantitative field preferred.

Qualifications

• BA/BS in STEM or quantitative field.
• Intermediate-level experience in Data Mining, Data Analysis, report building and SQL with strong data visualization capabilities.
• Experience creating dashboards with Power BI, Tableau or Qlik.
• Experience with Excel and GitHub preferred.
• 1-3 years of professional work experience.
• Ability to write SQL code for intermediate queries and to import/export data into SQL Server from various sources.

Responsibilities

• 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 monitoring and control mechanisms to ensure compliance with policies and procedures.
• Maintain documentation along with change management and testing documentation as required.
• Support existing dashboards for activity performance related to department processes.
• Research data issues and report and resolve discrepancies.
• Assist senior data leads in executing projects and ad-hoc requests.

Job description

PRA Group is seeking a data-focused professional to design and maintain data programming solutions for data quality and business rules analysis. The role involves building data workflows, validating data inputs/outputs, and creating visualizations to inform decision making.

Hybrid position: onsite 3 days per week. 1-3 years experience in data mining/analysis and BA/BS in STEM or quantitative field preferred.