Position Summary:
We’re looking for an Analytics Engineer II to build our next-generation enterprise metrics store and enable insights across underwriting, sales, product, claim and experience. This role blends analytics engineering and prompt engineering, supporting our journey toward a fully governed, AI-ready data ecosystem.As an Analytics Engineer, you will sit at the intersection of:• data modeling (dbt, semantic layer)• business metrics (insurance domain: quotes, binds, premium, agency performance)• analytics engineering (root cause analysis, metric relationships, metric store)This is a hands-on role where you will design, build, and scale core metrics and analytical workflows, working closely with product, business, and engineering stakeholders. The team is evolving toward exposing metric infrastructure as internal services, so you’ll have the opportunity to shape that API layer as it matures.
Geo-Salary Information
An in-person interview may be required during the hiring process
State specific pay scales for this role are as follows:
$94,458 to $179,048 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$X85,871 to $162,771 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$77,283 to $146,494 (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.
ResponsibilitiesEssential Job Functions:
- Build and scale the metric layer
- Develop and maintain dbt models
- Contribute to semantic layer definitions (metrics, dimensions, relationships)Ensure consistency and correctness of: key business metrics o metric hierarchies (metric pyramid)
- Implement analytical logic (root cause analysis & metric insights)
- Build root cause analysis workflows:Implement baseline comparisons , companion metric analysis
- Translate business questions into scalable analytical patterns
- Enable metric consumption across toolsSupport metric usage in different BI or analytical tools
- Build reusable logic that avoids duplication across tools
- Prepare for future API-based metric serving layer
- Partner with business and product stakeholders
- Work closely with sales, product, underwriting, claims, experience and other business teams, Translate ambiguous questions into:
- Structured metrics
- Actionable insights
- Improve data quality and governance
- Define and enforce:
- Metric definitions
- Dimension standards
- Data contracts
- Debug issues across:
- Upstream pipelines
- Semantic layer
- Analytical outputs
Qualifications
Education:
- Bachelor's Degree in Computer science, Statistics or similar
- 3–5 years of analytics engineering or similar analytical role experience with dbt or similar transformation frameworks proficiency: models, tests, incremental materialization, Jinja macros
- Advanced SQL on a columnar warehouse (Redshift, Snowflake, or BigQuery)
- Python for data transformation and analysis (pandas, basic scripting)
- Comfort working with YAML-based configuration and version-controlled analytics workflows
- Clear written and verbal communication—able to explain metric definitions and data lineage to non-technical stakeholders
- Nice to haveP&C insurance domain experienceExperience with:Cohort analysisFunnel metricsPerformance analysisFamiliarity with MetricFlow specifically and the dbt Semantic LayerExposure to Retool or similar low-code tools for operational write-back workflowsFastAPI or similar Python API frameworks (Flask, Django REST) for serving data products as services
Why choose a career at Mercury?
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.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
Perks and BenefitsWe 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, 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
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.
Pay RangeUSD $94,458.00 - USD $179,048.00 /Yr.Skills Required
- Bachelor's degree in Computer Science, Statistics, or a similar field
- 3-5 years of analytics engineering or similar analytical experience
- Proficiency with dbt or similar transformation frameworks, including models, tests, incremental materialization, and Jinja macros
- Advanced SQL experience with a columnar data warehouse such as Redshift, Snowflake, or BigQuery
- Python experience for data transformation and analysis, including pandas and basic scripting
- Experience with YAML-based configuration and version-controlled analytics workflows
- Clear written and verbal communication, including explaining metric definitions and data lineage to nontechnical stakeholders
- Property and casualty insurance domain experience
- Experience with cohort analysis, funnel metrics, and performance analysis
- Familiarity with MetricFlow and the dbt Semantic Layer
- Exposure to Retool or similar low-code tools for operational write-back workflows
- Experience with FastAPI or similar Python API frameworks, including Flask or Django REST
Mercury Insurance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mercury Insurance and has not been reviewed or approved by Mercury Insurance.
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Healthcare Strength — Core medical coverage spans multiple plan types alongside dental and vision, with employer HSA funding, mental‑health access, and wellness incentives. These offerings indicate a well‑rounded health and wellbeing package.
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Retirement Support — A 401(k) with company match and automatic enrollment indicates structured retirement support. A defined vesting approach further underscores consistent long‑term savings assistance.
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Leave & Time Off Breadth — Time‑off offerings cover vacation, sick time, paid holidays, and standard leaves such as bereavement, military, and family medical. The menu provides baseline coverage across key leave categories, with accrual improving over tenure.
Mercury Insurance Insights
What We Do
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 other 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 are an award-winning company, and we owe that to our amazing team! 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. Mercury was founded in 1961 by George Joseph, Mercury’s Founder and Chairman. Back in the 50s, everyone paid the same rate, regardless of their driving record. Joseph decided he could create a new system by developing an insurance company that used different factors to create fair and equitable rates for a variety of drivers. “We called our company Mercury, because I wanted us to be fast and nimble, just like the Roman God of business and merchants,” says Joseph. “He was also responsible for delivering good news to people on Earth, which is exactly what we do for Mercury customers every day.” We, Mercury Insurance (NYSE-MCY), are a leading independent broker and agency writer of automobile insurance in California and one of the fastest growing automobile insurers in the nation. We were ranked as the fourth largest private passenger automobile insurer in California, with over $4.5 billion in total assets, 4,500 team members, and 8,000 independent agents. We started by providing comprehensive coverage options for auto and expanded our offerings into home, condo, renters, and business insurance, as well as mechanical protection. We operate through a network of local, independent agents in Arizona, California, Florida, Georgia, Illinois, Nevada, New Jersey, New York, Oklahoma, Texas and Virginia.
