Data Analyst

Role Overview

We are seeking a Data Analyst to join our team. The Data Analyst serves as a primary data management point of contact for 30-40 clients and will be responsible for administration of MarshBerry’s proprietary database, assisting with product development, and research projects.

What You Will Do

The Data Analyst will be responsible for data collection, formatting, and report generation on a quarterly or annual basis, as well as extracting data and generating reports for special requests and projects.

Why It Might Be a Fit

This individual will work a hybrid schedule out of our Beachwood, OH office, working onsite Monday through Thursday with the option to work remotely on Friday’s. The Data Analyst will collaborate with the team on client projects and enhancements to performance benchmarking reports.

Requirements

• Bachelor’s degree in Business Administration, Accounting, Finance, Economics or Mathematics preferred or equivalent combination of education and experience.
• Prior relevant experience, including experience collecting and analyzing data, is preferred but not required.
• Familiarity with data modeling concepts in the financial services and insurance industries is a plus but not required.
• High level of computer and software competency; proficient with database administration and infrastructure.
• Proficient in Microsoft Office Word, Excel, Access and PowerPoint.
• Analytical, proactive problem solving skills; techniques to identify and resolve issues in a timely manner, gathers and analyzes information skillfully.
• Strong customer service skills.
• Confidentiality; maintains confidentiality of proprietary information and that of clients.
• Strong communication skills; both written and verbal with demonstrated creativity with regard to Excellent spelling, grammar as well as good phone skills.
• Exceptional organizational skills; using systematic methods to perform work and creativity to recommend or create new work methods or procedures.
• Ability to multi task; able to complete projects and responsibilities with extreme attention to detail according to required timelines and deadlines, along with capacity to work under pressure to create accurate results, demonstrating accuracy and thoroughness and monitors works to ensure quality.

Benefits

• Competitive benefits
• Hybrid work schedules
• New challenges
• Learning experiences

Tagged as: Data Analysis