Analytics Engineer
Marketing
Ai Ml
Analytics
Business Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Architecture
Data Integration
Data Management
Data Modeling
Data Pipeline
Data Platform
Data Processing
Data Science
Data Warehouse
Databricks
ETL
Integration
Marketing Analytics
Predictive Analytics
Reporting and Analytics
SQL
Job Description
Join Plaid in San Francisco for a hybrid capable Analytics Engineer role focused on empowering Marketing with robust data foundations. You will build and maintain the Marketing data stack, develop predictive models, and enable self-serve analytics. Collaborating with Marketing and ML teams, you will help deliver prescriptive analytics and AI powered experiences that inform business decisions.
Benefits
- Medical
- Dental
- Vision
- 401(k)
Responsibilities
- Own the dbt models and data marts that power Marketing analytics, activation, and reporting.
- Build, validate, and productionize predictive models such as lead scoring, lifetime value, channel attribution, and propensity, in partnership with Marketing and GTM stakeholders.
- Partner with Marketing leadership on measurement frameworks, experiment design, and spend optimization — translating business questions into analytical insights.
- Enable self-serve analytics through AI tools and well-documented semantic models.
- Collaborate with ML, Data Engineering, and Ops teams to deliver best-in-class data infrastructure for Marketing.
Requirements
- Bachelor's degree in a quantitative field (CS, Statistics, Economics, Engineering, or equivalent experience).
- 4+ years of proven experience in analytics engineering, data science, or a closely adjacent function.
- Advanced SQL and production-grade data modeling experience, with dbt strongly preferred.
- Python proficiency for modeling and analysis work.
- Hands-on experience with a modern cloud data warehouse (Databricks, Snowflake, BigQuery, or Redshift).
- Demonstrated experience shipping predictive models or applied ML in a business context.
- Prior experience in Marketing Analytics, Growth, or GTM analytics at a SaaS or usage-based technology company.
- Strong stakeholder communication and the ability to autonomously drive projects end-to-end.
Technologies
- dbt
- Databricks
- Snowflake
- BigQuery
- Redshift
- Python
Compensation
Base salary range: USD 157,200 to 214,800 per year. Equity is offered.
Location
San Francisco HQ
Address: 1098 Harrison Street, San Francisco, California, 94103
Employment Type
Full time
Location Type
Hybrid
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