BI & Analytics Engineering Manager — Data Platform Lead

Doist; New York (NY); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Equity

Bonus

Comprehensive benefits

Job summary

Peregrine Technologies in New York, NY is seeking a Manager, BI + Analytics Engineer to shape data models, access, and usage across the company. You will own the analytics stack architecture, partnering with Product, Sales, Finance, and Operations to turn data into insight and action.

This high‑visibility role requires hands‑on data engineering, KPI definition, and scalable pipelines. You’ll balance technical rigor with speed to deliver trusted data for revenue, product usage, and customer

Qualifications

• Strong command of SQL and data modeling best practices.
• Experience with modern data warehouses (Snowflake/BigQuery).
• Proficiency with dbt and orchestration tools (Airflow/Prefect).
• Experience with BI tools such as Looker, Hex, Mode, Sigma or similar.
• Excellent communication and ability to translate complex concepts to non-technical audiences.

Responsibilities

• 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.

Skills

SQL proficiency

Data modeling

Autonomous

Stakeholder communication

Cross-functional collaboration

Tools

dbt

Snowflake

BigQuery

Airflow

Prefect

Looker

Hex

Mode

Sigma

Job description

Peregrine Technologies in New York, NY is seeking a Manager, BI + Analytics Engineer to shape data models, access, and usage across the company. You will own the analytics stack architecture, partnering with Product, Sales, Finance, and Operations to turn data into insight and action.

This high‑visibility role requires hands‑on data engineering, KPI definition, and scalable pipelines. You’ll balance technical rigor with speed to deliver trusted data for revenue, product usage, and customer