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 Sales, Finance, and GTM. 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:
Collaborate with data engineering to build scalable data models, semantic layers, and metrics using dbt and BigQuery.
Translate business needs into user-friendly, self-service dashboards, agents, and analytical products for stakeholders in Sales, Customer Success, and Finance to provide actionable insights and improve decision-making.
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.
Define, validate, and build company-wide corporate metrics with cross-functional teams.
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 Sales, GTM, or Finance 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 SaaS business metrics such as pipeline coverage, sales efficiency, customer acquisition cost, 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.
People: Work with talented, collaborative, and friendly people who love what they do.
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more.
Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)
RampRemote: A comprehensive office equipment and ergonomics program—we provide you with equipment and tools to be your most productive self, no matter where you're located
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.
California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.