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Analytics and Insights Engineer

Analytics and Insights Engineer

CompanyLiveRamp
LocationSan Francisco, CA, USA
Salary$149500 – $176500
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

Requirements

  • 5+ years of experience in analytics engineering, business intelligence, or data analytics roles
  • Hands-on experience building dashboards using Tableau or a similar BI tool
  • Strong proficiency in SQL and working with large datasets in BigQuery or similar cloud data warehouses
  • Experience collaborating with data engineers and working with dbt or other data modeling frameworks
  • Experience using Vertex AI AutoML, BigQuery ML, or other no-code/low-code ML tools for predictive modeling
  • Understanding of key metrics and workflows in Sales, Finance, or GTM functions
  • Familiarity with data governance principles including documentation, privacy, and access controls
  • Ability to translate business needs into scalable, user-friendly analytics solutions
  • Bachelor’s degree in a technical or quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, or related field), or equivalent practical experience

Responsibilities

  • Collaborate with data engineering to define and refine scalable data models and semantic layers using tools like dbt, Atlan and BigQuery
  • Build and maintain intuitive dashboards in Tableau that provide actionable insights across Sales, Finance, and GTM functions
  • Develop and deploy ML models using AutoML and BigQuery ML to support forecasting, lead scoring, and other business use cases
  • Translate business requirements into analytics products that are accessible, performant, and easy to adopt
  • Design user-friendly, AI-powered self-service tools to improve decision-making across teams
  • Ensure governance, data quality, and documentation standards are consistently applied
  • Act as a liaison between technical teams and business stakeholders to ensure analytical solutions align with strategic goals
  • Lead complex cross-functional analytics projects that guide business decision-making
  • Help define best practices for scalable analytics design and contribute to long-term data strategy

Preferred Qualifications

  • Experience with AI agent frameworks, natural language querying, or building AI-powered user interfaces
  • Familiarity with SaaS business metrics such as pipeline coverage, sales efficiency, and customer acquisition cost
  • Prior experience in a cloud-native data environment such as Google Cloud Platform (GCP)
  • Exposure to LiveRamp’s data ecosystem (e.g., identity resolution, clean rooms, audience activation)
  • Experience supporting self-service analytics adoption across business team