Senior BI & Analytics Engineer - Data Platform Lead

Doist; San Francisco (CA); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Peregrine Technologies is seeking a Manager, BI + Analytics Engineer in San Francisco to shape data modeling and analytics across the company. You’ll own the analytics stack and partner with Product, Sales, Finance, and Operations to turn data into action.

You’ll define KPIs, automate workflows, and elevate data infrastructure, working closely with leaders to deliver insights that drive faster, better decisions, and stronger outcomes.

Qualifications

• 4+ years of experience as a BI/Analytics Engineer, Data Engineer, or similar in a fast-growing tech environment.
• Strong command of SQL and data modeling best practices.
• Proficiency with 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 — balance technical purity with speed, scalability and impact.
• Excellent communication to translate complex concepts to non-technical audiences.

Responsibilities

• Own and scale our data warehouse to support a fast-growing GTM and product ecosystem.
• Build and maintain ETL pipelines using dbt to integrate data from tools and platforms.
• Design clean, reusable data models powering reporting across departments.
• Create dashboards and analyses to surface trends in revenue, usage, and behavior.
• Set up data quality checks and alerts for accurate, timely data.
• Partner with teams to define KPIs and build forward-looking models.

Skills

SQL

Data modeling

Looker

Hex

Mode

Sigma

Airflow

Prefect

BigQuery

Snowflake

BI tooling

Tools

dbt

Snowflake

BigQuery

Airflow

Prefect

Job description

Peregrine Technologies is seeking a Manager, BI + Analytics Engineer in San Francisco to shape data modeling and analytics across the company. You’ll own the analytics stack and partner with Product, Sales, Finance, and Operations to turn data into action.

You’ll define KPIs, automate workflows, and elevate data infrastructure, working closely with leaders to deliver insights that drive faster, better decisions, and stronger outcomes.