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Manager, BI + Analytics Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Peregrine
Full Time position
Listed on 2026-01-09
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 180000 USD Yearly USD 150000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: New York

Backed by leading Silicon Valley investors, Peregrine helps the world’s most complex organizations solve their hardest problems 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 23 states and two countries, serving more than 90 million people—and we’re amplifying our impact as we expand into more industries.

We’re a team of entrepreneurs—undaunted by the hard problems and united by a passion to make a difference where it matters most. We collaborate relentlessly, move with urgency, and act with purpose. If you’re driven by mission and energized by the opportunity to build something new, join us in defining Peregrine’s future.

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'll 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/Big Query), 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

Salary Range: $150,000 - $180,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

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.

San Francisco Fair Chance Ordinance:
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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