Join the Mercury Insurance Team as a Full-Time Remote Data Analyst - Claims
Are you a detail-oriented and analytical individual with a passion for working with data? Do you have a strong background in statistics and data analysis, with excellent communication and problem-solving skills? If so, we have an exciting opportunity for you to join our team as a full-time remote Data Analyst - Claims. At Mercury Insurance, we are committed to helping people reduce risk and overcome unexpected events, and we are looking for talented professionals like you to help us achieve our mission.
About Mercury Insurance
With over 60 years of experience in the insurance industry, Mercury Insurance is a leading provider of insurance solutions to individuals and businesses. Our team is guided by a common goal to help others, and we believe in fostering a culture of diversity, inclusion, and teamwork. We offer a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.
Job Summary
The primary job function of a Data Analyst - Claims is to interpret complex data sets related to various operations of the Claims Department and provide data-driven analysis. The successful candidate will be responsible for analyzing and interpreting data, identifying trends and patterns, and providing insights to drive business decisions. They will use their knowledge of statistics and various data analytical tools to develop reports, dashboards, and visualizations to present complex data in a clear and concise manner.
Key Responsibilities
- Works with claims leaders and independently to identify and provide data support to recognize opportunities. Collaborates with other departments in Claims and other divisions of the company (Product, U/W, IT Domain Teams, etc.) on implementing solutions to business problems. Supports claims projects by applying general knowledge of the business area processes, including best practices.
- Retrieves data from various sources and prepares data for analysis. Reviews data for accuracy and revises methods of data retrieval when necessary. Prepares reports, graphs, and charts based on research and analyses. Analyzes data and identifies trends in data to provide meaningful suggestions and recommendations to leadership.
- Communicates proactively, clearly, and consistently with SMEs and leadership in the various claims operations to understand each job function. Through this communication, the employee will be expected to increase the breadth of their understanding of the processes associated with these operations, and of the various KPIs that drive business results.
- Creates presentations breaking down problems identified, potential solutions. Develops spreadsheets and visual tools for management use. May attend management meetings to present findings and recommendations.
- Coordinates and executes reporting; directs and supports underwriting users/leaders in identifying data needed for reporting using Guidewire Database, NextGen Database, and Enterprise Data Warehouse.
- Regular attendance at work on a full-time schedule of at least 8 hours and 40 hours per week.
- Other functions may be assigned.
Requirements
Education
A Bachelor's degree in an analytical concentration, such as math, statistics, or engineering, is required. A Master's degree is preferred in lieu of work experience.
Experience
At least 3 years of insurance-related experience, preferably in an analytical role, or an equivalent combination of education and experience.
Knowledge and Skills
- Advanced proficiency in SQL required.
- Proficiency in PowerBI and other data visualization tools.
- Experience with Python and/or R a plus.
- Knowledge of statistics and general model building/validation procedures required.
- Strong data skills and ability to work with massive datasets.
- Good problem-solving skills required.
- Good analytical and critical thinking required.
- Strong attention to detail and accuracy.
- Excellent written and verbal communication skills required.
- Work requires professional written and verbal communication skills and the ability to present findings on underwriting data projects.
- Must have the ability to produce quality work within tight timeframes, simultaneously manage multiple projects, and the ability to work in a team setting.
What We Offer
At Mercury Insurance, we offer a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Some of the benefits we offer include:
- Competitive compensation: $73,127 - $135,360 per year.
- Flexibility to work from anywhere in the United States for most positions.
- Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours).
- Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus).
- Medical, dental, vision, life, and pet insurance.
- 401(k) retirement savings plan with company match.
- Engaging work environment.
- Promotional opportunities.
- Education assistance.
- Professional and personal development opportunities.
- Company recognition program.
- Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more.
Why Choose a Career at Mercury?
At Mercury Insurance, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance, and we can't imagine a world without it.
Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
How to Apply
If you are a motivated and analytical individual with excellent communication skills, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and cover letter, to be considered for this role.
Apply Now
We look forward to hearing from you and exploring how you can contribute to our team as a Data Analyst - Claims.
Apply Now