Data Analytics Engineer II

Overview

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.

Responsibilities

Essential 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

About the Company

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 Benefits

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, 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 Range
USD $94,458.00 - USD $179,048.00 /Yr.