Additional Information
LiveRamp is the data collaboration platform of choice for the world's most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases-within organizations, between brands, and across its premier global network of top-quality partners.
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.
As we scale our self-service analytics and AI capabilities, we're looking for a Senior Analytics & Insights Engineer to develop scalable data solutions and intuitive tools that bring insights directly to business teams.
The Senior Analytics & Insights Engineer plays a critical role in delivering trusted, scalable analytics solutions to stakeholders across People and G&A teams. Working closely with architects and data engineering, you'll help shape data models and pipelines that serve as the foundation for high-impact dashboards and predictive analytics. You'll design user-centric tools that empower teams to explore data, gain insights, and make better decisions - powered by platforms like BigQuery, AI, ML, and Tableau.
You will:
Translate business needs into user-friendly, self-service dashboards, agents, and analytical products for stakeholders in People and G&A teams to provide actionable insights and improve decision-making.
Define, validate, and build company-wide corporate metrics with cross-functional teams.
Deliver deep-dive "so-what" analyses and strategic insights via descriptive, diagnostic, and predictive analytics/ML modeling on complex datasets, presenting findings to leadership for forecasting/business use cases.
Collaborate with data engineering to build scalable data models, semantic layers, and metrics using dbt and BigQuery.
Work with DE, IT teams to automate data pipelines and ETL automation for manual processes .
Optimize, refactor, validate, and document business logic, metrics, and data products to ensure proper governance of quality, accuracy, and scalability.
Act as a liaison across business and technical teams to align analytical solutions with strategic goals.
Lead complex cross-functional analytics projects.
Help define best practices for scalable analytics design and contribute to data strategy.
About you:
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
Understanding of key metrics and workflows in Peo functions
Experience collaborating with data engineers and working with dbt or other data modeling frameworks
Experience using AI, BigQuery ML, or other no-code/low-code ML tools for predictive modeling
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
Preferred Skills:
Experience with AI agent frameworks, natural language querying, or building AI-powered user interfaces
Familiarity with People analytics and metrics such as time to hire, retention, eNPS, etc
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
The approximate annual base compensation range is $115,000 to $179,000 . The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
Liveramp · San Francisco