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Manager, BI + Analytics Engineer

Peregrine TechnologiesNew York🇺🇸United States

Why this role stands out

This hybrid role offers a competitive salary of $150,000-$180,000 and the opportunity to build and scale data infrastructure at a mission-driven company impacting public safety. You'll thrive here if you're a hands-on builder who enjoys translating business questions into clean data pipelines and wants to shape the future of data analytics. Apply now to leverage your skills in a high-visibility, cross-functional position.

Quick overview

Salary$150k - $180k/yr
SeniorityMid Senior
Work modeHybrid
LocationNew York, United States
SQLETLLookerSnowflakeAirflowBigQuerydbt

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 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 New York, NY and willing to work in office four days a week
Annual Salary + Benefits + Equity (if applicable) + Bonus (if applicable)
$150,000—$180,000 USD

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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