
5001 - 10000 employees
Founded 1962
🚘 Automotive
💼 Consulting
📦 Logistics
Automotive • Consulting • Logistics
Mercury Insurance is a leading provider of insurance products, focusing on protecting individuals and their assets with a commitment to privacy and customer service. The company operates through independent agents and offers a range of insurance services including auto, home, and other personal insurance products. Mercury Insurance prioritizes the security of personal information and compliance with privacy laws, ensuring that customer data is handled with care and only shared when necessary for account servicing or as legally required.
🔥 8 minutes ago
🇺🇸 United States – Remote
💵 $76.8k - $142.2k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📉 Data Analyst
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Founded 1962
🚘 Automotive
💼 Consulting
📦 Logistics
Automotive • Consulting • Logistics
Mercury Insurance is a leading provider of insurance products, focusing on protecting individuals and their assets with a commitment to privacy and customer service. The company operates through independent agents and offers a range of insurance services including auto, home, and other personal insurance products. Mercury Insurance prioritizes the security of personal information and compliance with privacy laws, ensuring that customer data is handled with care and only shared when necessary for account servicing or as legally required.
• 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. • Responsible for analyzing and interpreting data, identifying trends and patterns, and providing insights to drive business decisions. • Use knowledge of statistics and various data analytical tools to develop reports, dashboards, and visualizations. • 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. • 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.
• Bachelor’s degree in an analytical concentration, such as math, statistics, engineering. • SAS and SQL Training • At least 3 years experience of insurance related experience preferably in an analytical role, or equivalent combination of education and experience. • 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. • 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.
• 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
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