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Role Description

We are looking for an Analytics Engineer to join our Technical Product Analytics team. Our group powers data-driven insights across our technical products and customer experiences. As an Analytics Engineer, you’ll be responsible for building and maintaining a 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, the ability to deliver complex data models, solve data problems, a strong technical background, and expertise in data visualization tools (PowerBI).

Responsibilities

• Data Architecture & Modeling:
  • Design, build, and maintain scalable dbt models and data marts supporting product analytics use cases 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:
  • Partner with engineering teams to define data contracts and ensure reliable event instrumentation across various products.
  • Work closely with analysts and product managers to translate 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.

Qualifications

• 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.

Preferred

• Experience in P&C insurance.

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.
• 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.

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.

Company Description

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.