Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2024!

Position Summary:

As a Sr. Technical Product Analyst, you will play a critical role in enabling the company to be data-driven through analyzing customer behavior, identifying performance trends, and driving continuous improvements to enhance digital experiences. You will be responsible for providing actionable insights through data analysis, identifying and resolving pain points, and optimizing user flows and technical product performance. The ideal candidate will have a passion for data, a strong technical background, expertise in data visualization tools (PowerBI), and the ability to deliver complex insights to all audiences.

State specific pay scales for this role are as follows:

$85,480 to $157,868  (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$77,709 to $143,516 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$69,938 to $129,165  (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

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

Essential Job Functions: 

• Analyze User Behavior: Use SQL and Python to track, visualize, and analyze user engagement, focusing on multi-raters, aggregators, agents, and customer behaviors in the sales funnel.
• Improve User Experience (UX): Use data insights to drive product usability improvements, ensuring an intuitive and seamless user experience.
• Support Product Roadmap: Collaborate with product teams to integrate user behavior data into the product roadmap, aligning with key business objectives.
• Cross-Functional Collaboration: Partner with engineering, business, and product teams to drive data-driven decisions and enhance product performance.
• Data Collection & Insights: Ensure that accurate data collection practices are followed and provide actionable insights into user behavior and product performance.
• Dashboard Development: Build and maintain dynamic sales funnel dashboards (using PowerBI), providing real-time insights into lead progression, conversion rates, and KPIs.
• Anomaly Detection: Implement and manage anomaly detection systems to proactively identify potential issues in user behavior or system performance.
• Technical Expertise: Apply strong knowledge of SQL, Python, and data visualization to solve complex product and UX challenges.
• Ownership of Analytics Areas: Take ownership of key analytics areas, including multi-raters, aggregators, and customer behavior in the insurance sales funnel.
• Insurance Domain Knowledge: Leverage understanding of the insurance industry to provide meaningful insights and guide product decisions, particularly in areas related to the insurance sales process.

Education: 

• Bachelor’s degree in computer science, Mathematics, Statistics, Data Science, Business Analytics, or a related field.
• Alternatively, an equivalent combination of education and/or experience in product analytics, data analysis, or a related discipline.

Experience:

• 5+ years of experience in data analytics, analytics engineering, data engineering, or data science.
• 4+ years of experience in product analytics, focusing on user behavior, engagement metrics, and product performance analysis.
• Experience in P&C insurance is preferred, but not required.
• Proven track record of collaborating with product teams to establish measurement tools and processes.
• Strong background in developing dashboards, reporting tools, and conducting in-depth data analysis to drive business decisions.

Knowledge and Skills:

• Proficiency in SQL and Python for data analysis and building data pipelines.
• Strong experience with data visualization tools (PowerBI) to create and maintain comprehensive dashboards.
• Expertise in relational and non-relational databases and data sources.
• Deep understanding of ETL/ELT processes and tools (e.g., dbt).
• Advanced data skills with the ability to work with large structured and unstructured data sets.
• Ability to identify gaps and inconsistencies in data, providing actionable insights.
• Strong analytical and creative thinking, comfortable working in ambiguous situations.
• Experience in managing and communicating data strategies and models to internal stakeholders.
• Demonstrated expertise in data mining and statistical analysis.
• Solid experience with cloud-based advanced data and analytics environments.
• Excellent problem-solving skills and critical thinking abilities.
• Strong written and verbal communication skills, capable of effectively conveying complex information.
• Ability to interact and collaborate with senior management and cross-functional teams.
• Passion for data-driven decision-making and continuous improvement in analytics practices.
• Demonstrate the company’s core values of integrity, customer focus, innovation, and collaboration.

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, paid Company holidays, and 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.