Analytics Engineer

Plaid2 weeks ago

Location

San Francisco

Type

Full Time

Salary

USD 150,000 – 225,000

Level

Senior

Role

Analytics Engineer

Posted

Apr 29, 2026

Full TimeSenior

The role

Summary

Plaid is seeking an Analytics Engineer to drive the company's marketing data strategy, building sophisticated data models, predictive frameworks, and self-serve analytics tools for the Marketing organization. The ideal candidate will leverage advanced technical skills to transform complex financial data into actionable insights that power Plaid's growth and marketing intelligence.

What you'll do

Data Model Ownership: Own and develop dbt models and data marts that power Marketing analytics, activation, and reporting at Plaid

Predictive Modeling: Build, validate, and productionize advanced predictive models including lead scoring, customer lifetime value (LTV), channel attribution, and propensity modeling

Analytical Partnership: Collaborate closely with Marketing leadership to design measurement frameworks, experiment designs, and optimize marketing spend through data-driven insights

Self-Service Analytics: Enable self-serve analytics capabilities through AI-powered tools and well-documented semantic data models

Cross-Functional Collaboration: Work alongside Machine Learning, Data Engineering, and Operations teams to deliver cutting-edge data infrastructure for the Marketing organization

What we look for

Technical

SQL ExpertiseAdvanced SQL skills with production-grade data modeling experience, particularly with dbt

ProgrammingProficiency in Python for advanced modeling and analytical work

Cloud Data WarehousingHands-on experience with modern cloud data warehouses like Databricks, Snowflake, BigQuery, or Redshift

Machine LearningDemonstrated experience in developing and deploying predictive models and applied machine learning in business contexts

Education

Degree RequirementBachelor's degree in quantitative field such as Computer Science, Statistics, Economics, Engineering, or equivalent practical experience

Experience

Professional Experience4+ years of proven experience in analytics engineering, data science, or closely related functions

Industry SpecializationPrior experience in Marketing Analytics, Growth, or Go-to-Market analytics at a SaaS or usage-based technology company

Skills

Required skills

dbtExpertise in data build tool (dbt) for data transformation and modeling

SQLAdvanced SQL skills for complex data querying and transformation

PythonStrong Python programming skills for data analysis and modeling

Cloud Data WarehousingProficiency in cloud data warehouse technologies

Nice to have

Machine LearningExperience with predictive modeling and machine learning techniques

Marketing AnalyticsDeep understanding of marketing performance metrics and analytics frameworks

Experiment DesignExpertise in designing and implementing statistical experiments

Compensation & benefits

Salary

USD 150,000 – 225,000 (annual)

Stock options

Available

Benefits

Competitive Compensation

Competitive salary with potential equity compensation in a high-growth fintech company

Mission-Driven Work

Opportunity to contribute to Plaid's mission of unlocking financial freedom for everyone

Diverse and Inclusive Culture

Commitment to building a diverse, equitable, and inclusive workplace

Interview process

1
Initial Screening — Phone or video call with recruiting team to assess initial fit
2
Technical Assessment — Comprehensive technical interview focusing on data modeling, SQL, and analytics engineering skills
3
Stakeholder Interviews — Interviews with team members from Marketing, Data Engineering, and Analytics teams
4
Final Interview — Meeting with hiring manager to discuss role specifics and team alignment