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Plaid

Senior Analytics Engineer

Plaid

. Own the dbt models and data marts that power Marketing analytics, activation, and reporting .

Posted 10/16/2026full-timeSan Francisco • California • United StatesSenior💰 $157,200 - $214,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in analytics engineering and data science with a strong focus on predictive modeling, data mart ownership, and marketing analytics. Proficient in SQL, Python, and modern cloud data warehouses to enable self-serve analytics and drive marketing performance.

Highest-signal resume keywords
Advanced SQLDbt Data ModelingPredictive ModelingPython ProficiencyMarketing Analytics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Analytics EngineeringData SciencePredictive ModelsData Mart OwnershipLead ScoringChannel AttributionLTV ModelingExperiment DesignSpend OptimizationApplied Machine Learning
Soft Skills
Stakeholder CommunicationProject ManagementAutonomous Work
Tools & Technologies
DatabricksSnowflakeBigQueryRedshiftAI Tools
Industry Keywords
Marketing AnalyticsGrowth AnalyticsGTM AnalyticsSaaSUsage-Based Technology

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudPythonSQL

About the role

Key responsibilities & impact
  • Own the dbt models and data marts that power Marketing analytics, activation, and reporting
  • Build, validate, and productionize predictive models for lead scoring, LTV, channel attribution, and propensity
  • Partner with Marketing leadership on measurement frameworks, experiment design, and spend optimization
  • Translate business questions into analytical answers
  • Enable self-serve analytics through AI tools and well-documented semantic models
  • Collaborate with ML, Data Engineering, and Ops teams to deliver data infrastructure to Marketing
  • Build predictive frameworks and self-serve data products for Marketing leadership
  • Support planning spend, measuring performance, and driving growth

Requirements

What you’ll need
  • Bachelor's degree in a quantitative field (CS, Statistics, Economics, Engineering, or equivalent experience)
  • 5+ 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 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
  • Ability to work in the San Francisco, Seattle, or New York City office 2 days a week

Benefits

Comp & perks
  • Equity
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
  • Reasonable accommodations for candidates with disabilities