Peregrine Technologies

Manager, BI + Analytics Engineer

Peregrine Technologies
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2 months ago

Base Salary

$150k - $180k/yr

Responsibilities

  • Own and scale the data warehouse for Peregrine’s go-to-market and product ecosystem.
  • Build and maintain ETL pipelines using dbt to integrate data from tools, applications, and third-party platforms.
  • Design reusable data models supporting reporting across Sales, Marketing, Product, and Finance.
  • Create dashboards and analyses covering revenue, product usage, and customer behavior.
  • Implement data quality checks and alerts to maintain accurate, timely, and trustworthy data.
  • Partner with teams to define KPIs and build planning and forecasting models.
  • Own analytics projects end-to-end and communicate complex concepts to non-technical audiences.

Requirements

  • 4+ years of experience as a BI Engineer, Analytics Engineer, or Data Engineer in a fast-growing technology environment.
  • Strong command of SQL and data modeling best practices.
  • Proficiency with dbt, Snowflake or BigQuery, and orchestration tools such as Airflow or Prefect.
  • Experience with BI tools such as Looker, Hex, Mode, Sigma, or similar.
  • Strong product and business judgment, including the ability to balance technical quality with speed, scalability, and impact.
  • Ability to work autonomously and own projects end-to-end.
  • Excellent communication skills.
  • Must be located in San Francisco, California and willing to work at the company headquarters.

Benefits

  • Benefits, equity if applicable, and bonus if applicable are offered in addition to the stated salary range.
  • The role is based at Peregrine’s San Francisco headquarters.

Tech Stack

Apache AirflowdbtGoogle BigQuerySnowflakeSQL

Categories

Data Engineering
Peregrine Technologies

About Peregrine Technologies

501-1,000 employees

Peregrine builds an AI-enabled platform that unifies siloed data into real-time operational intelligence for public safety agencies, governments, and regulated enterprises. Its enterprise SaaS offers data integration, search, analytics, and visualization to improve decision-making during critical operations. Founded in 2018 and headquartered in San Francisco, the privately held company reports supporting hundreds of customers across 30+ states and two countries, serving more than 125 million people.

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