Data Analytics Engineer II

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 tools Support 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

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 have P&C insurance domain experience Experience with: Cohort analysis Funnel metrics Performance analysis Familiarity with MetricFlow specifically and the dbt Semantic Layer Exposure to Retool or similar low-code tools for operational write-back workflows FastAPI or similar Python API frameworks (Flask, Django REST) for serving data products as services

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