Audience Insights & Analytics Engineer

Stanford University; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Hoover Institution at Stanford University is seeking an Audience & Marketing Insights Analyst to build ELT pipelines and data models for cross‑platform marketing analytics. You will transform data from HubSpot, GA4, social, video, and events into clean, reporting‑ready tables, and partner with teams to extract strategic insights.

The role blends marketing judgment with hands‑on technical skills, including ELT pipelines, data modeling, and GA4 interpretation.

Qualifications

• Experience building ELT pipelines and data models.
• GA4 event data modeling and QA.
• Proficiency in SQL and Python for data processing.
• Experience with HubSpot CRM data and API integrations.
• Ability to translate data into actionable marketing insights.

Responsibilities

• Build and maintain automated ELT pipelines from HubSpot, GA4, and paid media into BigQuery.
• Develop Dataform transformations and medallion architecture data models.
• Define tracking specs with web teams and QA GA4 tagging.
• Develop audience cohorts and measure reach, resonance, and relationships.
• Produce dashboards and executive analyses to inform strategy.
• Collaborate across marketing, content, and product teams.

Skills

GA4 analytics

Data pipelines

BigQuery

Dataform

SQL

Python

REST APIs

Education

Bachelor's degree

Tools

HubSpot

BigQuery

Dataform

GitHub

Looker Studio

Google Tag Manager

Job description

Hoover Institution at Stanford University is seeking an Audience & Marketing Insights Analyst to build ELT pipelines and data models for cross‑platform marketing analytics. You will transform data from HubSpot, GA4, social, video, and events into clean, reporting‑ready tables, and partner with teams to extract strategic insights.

The role blends marketing judgment with hands‑on technical skills, including ELT pipelines, data modeling, and GA4 interpretation.