# Analytics Engineer résumé example

Modern analytics stack work told in outcomes: 480 tested models, 38% less warehouse spend, one agreed definition of on-time.

![Analytics Engineer résumé example — mid level, written for United States, set in the Margin design](https://cvaurum.com/img/examples/analytics-engineer.webp)

- Field: Data & Analytics
- Career stage: Mid level
- Written for: United States
- Design: Margin (https://cvaurum.com/templates/margin)
- Open it: https://cvaurum.com/examples/analytics-engineer

Every name, employer, address, phone number and figure below is invented.

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## Ruben Ortega — Analytics Engineer

Analytics engineer with seven years turning operational data into models other teams trust without checking. Runs the 480-model dbt project behind shipment, billing and customer reporting at a logistics company, and cut warehouse spend 38% in the same year daily volume grew by half.

### Experience

**Analytics Engineer**, Fernwood Logistics · April 2023 – present

Data team of seven. Owns the warehouse models behind shipment, billing and customer reporting.

- Owns a dbt project of 480 models and 1,900 tests covering shipments, invoices and accounts; a full refresh runs in 22 minutes.
- Cut warehouse spend 38%, about $214,000 a year, by re-clustering the four largest fact tables and moving 60 dashboards off raw event scans.
- Introduced source contract tests, taking silent schema breaks from roughly two a month to none across the last three quarters.
- Wrote the semantic layer that gave finance and operations one definition of on-time delivery, retiring nine conflicting spreadsheets.
- Runs the weekly model review; time to add a governed metric fell from two days to two hours.

**Data Analyst**, Cobalt Meadow Software · January 2021 – March 2023

- Modeled the subscription funnel end to end and showed that 31% of trials never reached the first integration step, which drove an onboarding rewrite.
- Replaced 60 hand-maintained SQL views with a tested dbt project, ending a standing Monday ritual of patching broken reports.
- Built the churn scorecard customer success still works from; accounts in its top decile churned at six times the base rate.

**Marketing Analyst**, Larkspur Media · July 2019 – December 2020

- Automated weekly campaign reporting across six channels, returning about 15 hours a month to the media team.
- Moved attribution from last click to a position-based model, reallocating $180,000 of quarterly spend toward two undercredited channels.

### Education

- B.S. Industrial Engineering · University of Illinois Urbana-Champaign · August 2015 – May 2019

### Skills

- **Modeling**: dbt, Dimensional modeling, Semantic layers, Data contracts, SQL
- **Platform**: Snowflake, BigQuery, Airflow, Fivetran, Terraform, Git
- **Analysis**: Python, Looker, Tableau, Experiment design
- **Practice**: Code review, Metric governance, Cost tuning, Documentation