Manager, BI + Analytics Engineer
AI summary of the role
Peregrine is hiring a hands-on Manager of BI and Analytics Engineering to own the internal analytics stack end-to-end.
What you’ll do
- Own and scale the data warehouse for a fast-growing GTM and product ecosystem
- Build and maintain ETL pipelines using dbt across tools, apps, and third-party platforms
- Design clean, reusable data models for Sales, Marketing, Product, and Finance reporting
- Create dashboards and analyses on revenue, product usage, and customer behavior
What you’ll bring
- 4+ years as a BI Engineer, Analytics Engineer, or Data Engineer in a fast-growing tech environment
- Strong SQL and data modeling expertise
- Proficiency in dbt, Snowflake/BigQuery, and orchestration tools (Airflow, Prefect)
- Experience with BI tools like Looker, Hex, Mode, Sigma, or similar
Technologies
dbt · SQL · Snowflake · BigQuery · Airflow · Prefect · Looker · Hex · Mode · Sigma
About Peregrine
Peregrine integrates fragmented public-safety and government data into secure, permissioned operational intelligence and AI workflows for faster decisions in the field.
Series C · 200–500 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally. The Role 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
More from the job description
Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally. The Role 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 m [... source excerpt omitted ...] n 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
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