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
A forward looking Analytics Engineer at Plaid focuses on the Marketing data stack, predictive modeling, and self-serve analytics, partnering with Marketing and ML teams to deliver prescriptive analytics and AI driven experiences.
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 collaboration with Marketing and GTM stakeholders.
- Partner with Marketing leadership to define measurement frameworks, design experiments, and optimize spend by translating business questions into analytical answers.
- Enable self-serve analytics through AI tools and well documented semantic models.
- Collaborate with ML, Data Engineering, and Operations teams to deliver a 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; 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
Benefits
- Medical
- Dental
- Vision
- 401(k)
Location
San Francisco, CA (Hybrid)
Address
1098 Harrison Street, San Francisco, California, 94103
Employment Type
Full time
Location Type
Hybrid
Department
All DepartmentsData
Compensation
Base salary range: USD 157,200 – 214,800 per year with equity opportunities (Zone 1 target base salary). Offers equity.
Similar Jobs
