Product Analyst II

🕒 April 15

🇺🇸 United States – Remote

💵 $76.8k - $142.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔍 Product Analyst

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Mercury Insurance

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1962

💸 Finance

👥 B2C

Insurance • Finance • B2C

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.

📋 Description

• Monitor and analyze product performance (growth, profitability, mix, retention, and segment results) for assigned states and lines of business. • Identify emerging issues, trends, and opportunities; recommend actions to improve loss ratio, growth, and mix. • Use tools such as SQL/SAS/R/Python, Excel, and PowerBI/Hex, and rating/competitive tools to develop and validate datasets used for performance, pricing, and segmentation analysis and visualizations. • Build and maintain repeatable analytics, dashboards, and tools (e.g., Excel, BI tools) to monitor key KPIs and support decision making. • Support development of state and line business plans, including forecasts, production expectations, and performance targets. • Support Actuarial and Product Managers in designing, testing, and implementing rating and product changes for assigned states. • Prepare written summaries, presentations, and visualizations (charts, graphs, dashboards) that communicate key insights, recommended actions, and expected impacts.

🎯 Requirements

• Bachelor’s degree in Business, Mathematics, Statistics, Economics, Finance, Actuarial Science, Data Analytics, or a related quantitative field. • 3+ years of experience in product management, pricing, analytics, actuarial, or related roles in insurance, financial services, or a similar data driven industry. • Experience working with large datasets and performing analytical work using tools such as SQL, SAS, R, Python, or similar. • Strong analytical, critical thinking, and problem solving skills; able to structure ambiguous questions and turn data into clear recommendations. • Proficiency with Microsoft Excel and SQL required; experience with SAS, R, Python, and/or BI tools (Power BI, Hex, Tableau, etc.) preferred.

🏖️ Benefits

• 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