Senior Analytics Engineer - Growth Marketing Data

Plaid; United States; Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Office locations across SF/NYC/Raleigh

Health benefits and family support

Lifestyle stipends and commuting perks

Job summary

Plaid is seeking an Analytics Engineer to own the Marketing data stack, build dbt models on Databricks, and create predictive frameworks for spend optimization and growth. You will partner with PMM and Marketing leaders to deliver prescriptive analytics and self-serve data products.

You will work on predictive modeling (LTV, lead scoring) and attribution, ensuring production-grade analytics and strong stakeholder collaboration across GTM teams.

Qualifications

• Advanced SQL and production-grade data modeling experience.
• 4+ years of analytics engineering, data science, or closely related field.
• Python proficiency for modeling and analysis work.
• Experience shipping predictive models or applied ML in a business context.
• Hands-on experience with a modern cloud data warehouse (Databricks, Snowflake, BigQuery, or Redshift).
• Bachelor’s degree in a quantitative field (CS, Statistics, Economics, Engineering, or equivalent).

Responsibilities

• Own the Marketing data stack dbt models and data marts to power analytics and reporting.
• Build, validate, and productionize predictive models (lead scoring, LTV, attribution) with cross-functional partners.
• Collaborate with Marketing leadership on measurement frameworks, experiments, and spend optimization.
• Enable self-serve analytics through AI tools and well-documented semantic models.
• Partner with ML, Data Eng, and Ops teams to deliver robust data infrastructure for Marketing.
• Communicate insights and translate business questions into analytical answers.

Skills

SQL

Python

Predictive modeling

Data modeling

Stakeholder comms

Education

Bachelor's degree in quantitative field

Tools

dbt

Databricks

Snowflake

BigQuery

Redshift

Job description

Plaid is seeking an Analytics Engineer to own the Marketing data stack, build dbt models on Databricks, and create predictive frameworks for spend optimization and growth. You will partner with PMM and Marketing leaders to deliver prescriptive analytics and self-serve data products.

You will work on predictive modeling (LTV, lead scoring) and attribution, ensuring production-grade analytics and strong stakeholder collaboration across GTM teams.