Analytics Engineer

Mercury Insurance Services, LLC

2d•Remote

About The Position

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 2026! Position Summary: We are looking for Analytics Engineer to join our Technical Product Analytics team. Our group powers data driven insights across our technical products and customer experiences. As a Analytics Engineer you’ll be responsible for building and maintaining data foundation that enables analysts, product managers, engineers and growth teams to measure user behavior. The ideal candidate will have a passion for data mining, ability to deliver complex data models, solving data problems, a strong technical background, expertise in data visualization tools (PowerBI). 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 (CA, 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 $116,356 (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.

Requirements

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.
5+ years of experience in data analytics, analytics engineering, data engineering.
4+ years of experience in product analytics, focusing on user behavior, engagement metrics, and product performance analysis.
Proven track record of collaborating with product teams to establish measurement tools and processes.
Strong background in developing dashboards, reporting tools, building data models.
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.
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.
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.

Nice To Haves

Experience in P&C insurance

Responsibilities

Data Architecture & Modeling
Design, build and maintain scalable dbt models and data marts supporting product analytics use case across web, mobile and agent facing platforms.
Develop a unified data model integrating event data (Segment.io)
Implement clean metric logic (sessionization, funnels, conversions, retention) with clear definitions and metric lineage.
Pipeline Development & Governance
Build and automate ELT pipelines (using dbt) feeding the product analytics warehouse (Redshift)
Enforce data quality through schema tests, assertions and anomaly detection frameworks.
Maintain metadata and documentation to ensure transparency in the analytics layer.
Cross-Functional Collaboration
Partners with engineering teams to define data contracts and ensure reliable event instrumentation across various products.
Work closely with analysts and product managers to translation business requirements into technical data models with reusable transformations.
Dashboard Development
Build and maintain dynamic sales funnel dashboards (using PowerBI), providing real-time insights into lead progression, conversion rates, and KPIs.
Ownership of Analytics Areas
Take ownership of key analytics areas, including multi-raters, aggregators, and customer behavior in the insurance sales funnel.
Technical Expertise
Apply strong knowledge of SQL, Python, and data visualization to solve complex data problems.
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.

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