Senior Analytics Engineer

Plaid

Senior Analytics Engineer managing analytics and predictive models for Plaid, empowering financial tools and services. Owning data models and collaborating with Marketing leadership for analytics-driven decisions.

Posted 7/28/2026full-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 and data infrastructure. Proficient in SQL, Python, and modern cloud data warehouses, with a proven ability to collaborate with marketing teams to drive data-driven decision-making.

Highest-signal resume keywords

Advanced SQLDbt Data ModelingPython ProficiencyPredictive Modeling ExperienceMarketing Analytics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Analytics EngineeringData SciencePredictive ModelsData ModelingStatistical Analysis

Soft Skills

Stakeholder CommunicationProject Management

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 (lead scoring, LTV, channel attribution, 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 answers
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 to Marketing

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.

Benefits

Comp & perks

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered.
Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).
Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location.
Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.