2023-7021_Data Analyst - Property Centralized Account Services

Arch Global Services offers competitive pay and a comprehensive benefits package. Additionally, Arch is committed to helping its associates create what’s next by providing access to a variety of programs supporting your professional development and a culture that encourages innovation, collaboration and professional growth. We seek talent that thinks innovatively, values collaboration and will go the extra mile to serve our customers and develop our company. We also have a little fun along the way, check out our Holiday Party.

The data analyst is responsible for collection, organization, interpretation, analysis, scrubbing, documentation and dissemination of complex data sets. The candidate will provide analysis, will process and normalize the data to ensure data integrity and will create queries, views and reports.

• Interpret data, analyze results and provide ongoing reports
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze and interpret trends or patterns in a complex data sets
• Filter and scrub data and review reports and performance indicators to locate and correct code problems
• Locate and define new process improvement opportunities

Technical Skills Proficiency Level Required (R) /Optional (O)

MS Excel 2 R

MS Office Suite 2 R

VBA/Excel 1 O

• Excellent communication and interpersonal skills
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Superior knowledge of Excel and Word
• Willing to adapt and learn quickly
• Adept at queries, report writing and presenting findings
• BS in Computer Science, Engineering, Mathematics, Economics, Information Management, Statistics or related discipline

• BS in Computer Science, Engineering, Mathematics, Economics, Information Management, Statistics or related discipline