Data Analyst Claims

The primary job function, under general supervision, is interpreting complex data sets related to various operations of the Claims Department and provide data-driven analysis. The position is 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.

An in-person interview may be required during the hiring process

State specific pay scales for this role are as follows:

$76,829 to $142,213 (NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$69,845 to $129,284 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$62,860 to $115,356 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

In CA: Typical hiring range is $$98,568.90 to $120,473.10.

The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.

• 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. May assist with forecasting future claims activity to plan for future risks. Serves as a contact for basic reporting needs/issues and on demand reports. 
• Communicates proactively, clear, and consistently with SME’s 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 KPI’s 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. The encumbent  should have a strong background in creating and explaining meaningful graphs and also be skilled at assembling and delivering presentations
• 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

• Worker characteristics are normally acquired through the successful completion of a Bachelor’s degree in an analytical concentration, such as math, statistics, engineering. 
• SAS and SQL Training  
• Master’s degree is required in lieu of work experience.

Experience:

At least 3 years experience of insurance related experience preferably in an analytical role, or 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
• Requires the ability to work a flexible schedule and travel as needed, which may require overnight and/or weekend stays.
• Requires the ability to adhere to the Company’s privacy policy due to the sensitive nature of information handled in this position.

Why choose a career at Mercury?

At Mercury, 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.

We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

Learn more about us here: https://www.mercuryinsurance.com/about/careers

We offer many great benefits, including:

• Competitive compensation
• 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

Mercury Insurance is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.