Job Description

WHO WE ARE…

Harris & Harris has 50 years of experience in revenue recovery. Through dedication and continuous hard work, we have earned our place in the collections industry as a leader. We are known for providing our clients with high-level service and for treating our customers ethically and professionally. If you are looking for a company that embraces the principles of respect, compassion, and trust, please apply with us today.

KEY RESPONSIBILITIES

• Collect and study data to reveal potential Exception Report (Error Report) improvement areas
• Complete exception reports daily
• Heavy use of Microsoft Excel and numerous client systems
• Gather information from CUBS system and client systems that allow a better understanding of the situation and then studies the information to find efficiencies
• Identify and interpret patterns and trends
• Communicate the results of the analysis as a comprehensive report to company leaders and decision-makers
• Designs reports and include tools that can help others understand data, such as statistics, graphs, and lists
• Collect data using a variety of methods, including data mining and electronic documentation study
• Make recommendations about the methods the department should use to collect, analyze and manage data to improve data quality and the efficiency of systems
• Filter and “clean” data, review computer reports, printouts, and performance indicators to locate and rectify problems
• Reformat or recreate reports into an easy-to-read format
• Export Notepad reports into Excel and reformat
• Summarize actions or steps required to complete exception reports
• Compile data as directed to determine exception report workload volume
• Locate and define new process improvement opportunities
• Other duties and tasks as assigned

KEY REQUIREMENTS

• Strong analytical, data-driven skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
• Ability to see through data and analyze it to find conclusions
• Excellent written and verbal communication skills with an ability to present findings or translate data into an understandable document or presentation
• Proven work experience as a data analyst or related role
• Demonstrated advanced Microsoft Word and Excel skills required
• Experience with data-mining preferred
• Experience with CUBS system a plus