As Peregrine's Manager, BI + Analytics Engineer, you'll play a foundational role in shaping how data is modeled, accessed, and used across the company. You will own the architecture and execution of our internal analytics stack, partnering closely with stakeholders across Product, Sales, Finance, and Operations to turn raw data into insight and insight into action.
This is a highly cross-functional and high-visibility role - you'll work directly with leaders across the business to define KPIs, automate workflows, and level up our data infrastructure. If you're a hands-on builder who thrives in ambiguity, loves translating business questions into clean data pipelines, and wants to shape the future of data at a mission-driven company, we want to hear from you.
What You Will Do
Own and scale our data warehouse to support a fast-growing Go-To-Market and product ecosystem
Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms
Design clean, reusable data models that power reporting across Sales, Marketing, Product, and Finance
Create dashboards and analysis that uncover trends in revenue, product usage, and customer behavior
Set up data quality checks and alerts to ensure accurate, timely, and trustworthy data
Support planning and forecasting by partnering with teams to define KPIs and build forward-looking models
What We Look For
4+ years of experience as a BI Engineer, Analytics Engineer, or Data Engineer in a fast-growing tech environment
Strong command of SQL and data modeling best practices
Proficiency in dbt, modern data warehouses (Snowflake/BigQuery), and orchestration tools (Airflow, Prefect)
Experience with BI tools such as Looker, Hex, Mode, Sigma, or similar
Strong product and business sense - you know how to balance technical purity with speed, scalability, and impact
Comfort working autonomously and owning projects end-to-end
Excellent communication skills with an ability to translate complex concepts to non-technical audiences
Located in Washington, D.C. and willing to work in office four days a week
Numbers & Facts
Location
Washington, DC
Skills
Analysis Skillsunmatched
Best Practicesunmatched
Business Intelligenceunmatched
Business Intelligence Softwareunmatched
Communication Skillsunmatched
Cross-Functionalunmatched
Customer/Consumer Behaviorunmatched
Data Cleaningunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Ecosystemsunmatched
Financeunmatched
Financial Operationsunmatched
Financial Trend Analysisunmatched
Forecastingunmatched
Lookerunmatched
Marketingunmatched
Performance Metricsunmatched
Reporting Dashboardsunmatched
Revenue/Sales Reportingunmatched
SQL (Structured Query Language)unmatched
Salesunmatched
Snowflake Schemaunmatched
Time Managementunmatched
Trend Analysisunmatched
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