LiveRamp
Overview
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. Role
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 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 Vertex AI, BigQuery ML, and Tableau. 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. Your team will
Partner across Sales, Finance, and GTM teams to design scalable analytics solutions that unlock insights, drive operational decisions, and support AI adoption across the business. The team plays a critical role in ensuring that data products are trusted, user-friendly, and built to scale — combining technical expertise with business context to make impactful decisions easier. 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 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 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, 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 Compensation
The approximate annual base compensation range is $149,500 to $176,500. 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. Benefits
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: Medical, dental, vision, life and disability, employee assistance program, voluntary benefits, and perks programs for personal and professional growth. Savings: 401K matching plan—1:1 match up to 6% of salary; Employee Stock Purchase Plan with 15% discount. RampRemote: Office equipment and ergonomics program to support productive work locations. More about us
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. See Diversity, Inclusion, & Belonging (DIB) for more information: https://liveramp.com/diversity-inclusion-belonging/. LiveRamp is committed to privacy and data protection. California residents: see our California Personnel Privacy Policy for details regarding data collection, use, and disclosure during the job application process. To all recruitment agencies: LiveRamp does not accept agency resumes and is not responsible for related fees. We are proud to be an equal employment opportunity and affirmative action employer. We do not discriminate based on race, color, religion, sex, age, national origin, veteran status, sexual orientation, gender identity, disability, or any other basis prohibited by law.
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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. Role
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 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 Vertex AI, BigQuery ML, and Tableau. 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. Your team will
Partner across Sales, Finance, and GTM teams to design scalable analytics solutions that unlock insights, drive operational decisions, and support AI adoption across the business. The team plays a critical role in ensuring that data products are trusted, user-friendly, and built to scale — combining technical expertise with business context to make impactful decisions easier. 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 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 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, 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 Compensation
The approximate annual base compensation range is $149,500 to $176,500. 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. Benefits
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: Medical, dental, vision, life and disability, employee assistance program, voluntary benefits, and perks programs for personal and professional growth. Savings: 401K matching plan—1:1 match up to 6% of salary; Employee Stock Purchase Plan with 15% discount. RampRemote: Office equipment and ergonomics program to support productive work locations. More about us
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. See Diversity, Inclusion, & Belonging (DIB) for more information: https://liveramp.com/diversity-inclusion-belonging/. LiveRamp is committed to privacy and data protection. California residents: see our California Personnel Privacy Policy for details regarding data collection, use, and disclosure during the job application process. To all recruitment agencies: LiveRamp does not accept agency resumes and is not responsible for related fees. We are proud to be an equal employment opportunity and affirmative action employer. We do not discriminate based on race, color, religion, sex, age, national origin, veteran status, sexual orientation, gender identity, disability, or any other basis prohibited by law.
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