Manager, Data Analytics

LiveRamp, Inc. • New York, NY

39d • $150,000 - $191,500 • Hybrid

About The Position

The Manager, Data Analytics leads a team of 4–6 analysts delivering reporting and analytics for LiveRamp customers using LiveRamp's Clean Room. This player-coach role is accountable for the team's growth, quality, and delivery while personally leading complex and high-visibility customer analyses. The manager partners with Customer Success, Product, and Engineering and serves as a senior analytics representative to customer stakeholders.

The role oversees analyst development and staffing, portfolio delivery, analytical standards, and the creation of scalable systems and reusable analysis. It also involves shaping customer requirements, presenting findings, managing escalations, translating customer insights into product direction, and driving the adoption of AI in team workflows and measurement analysis.

The position is hybrid, with two days per week in the office in San Francisco, New York City, or Seattle. The approximate annual base compensation range is $150,000 to $191,500. The actual offer may vary based on experience, skills, geography, and internal equity.

Requirements

• At least 6 years of experience in analytics or data science, including at least 2 years leading analysts as a people manager or as a team or project lead with clear ownership of others' work and development.
• Bachelor's degree in Statistics, Economics, Engineering, Computer Science, or another quantitative field.
• AdTech industry experience and deep expertise in advertising measurement and attribution.
• Ability to independently build analyses using SQL, Python, Excel, and statistical methods, and to review analytical methodology.
• Experience creating and presenting data-driven dashboards and presentations, with hands-on experience in Metabase, Tableau, and/or Looker.
• Understanding of data modeling techniques and ability to explain complex concepts to different audiences.
• Demonstrated success in client-facing environments, including presenting complex analyses to large non-technical audiences, adapting presentations for technical audiences, and handling escalations credibly.
• Experience managing competing priorities across multiple concurrent customer projects and analysts while maintaining quality.
• Interest in, willingness to learn, and demonstrated ability to quickly adopt new technology, including AI solutions, and bring a team along.
• Self-starter with energy, passion, and creativity, and genuine satisfaction in supporting others' growth.

Nice To Haves

• Familiarity with the TV industry.

Responsibilities

• Manage, coach, and develop a team of data analysts and senior data analysts by setting goals, providing regular feedback, conducting performance and career development conversations, and hiring.
• Own delivery across the team's customer portfolio by allocating analysts, setting priorities and timelines, and ensuring deliverables meet quality and client-readiness standards.
• Lead analyses on complex, ambiguous, or strategically important engagements and review methodology and interpretation for other work.
• Build scalable analytics systems, templates, and reusable analysis libraries applicable across customer use cases and verticals.
• Establish and enforce standards for analytical rigor, peer review, documentation, and reproducibility, including for observational analytics and experimental designs.
• Serve as a senior customer contact by shaping requirements, presenting findings, handling escalations, and building relationships with analytics and marketing leaders.
• Translate customer insights into product direction and work with Product and Engineering on the measurement roadmap and new analytical offerings.
• Drive AI adoption in team workflows by developing applications and tools for measurement data analysis to expand product capability and improve client deliverables.
• Work with Product and Engineering to support and understand LiveRamp's measurement products and methodologies.
• Understand internal and external clients' measurement and analytical needs and translate them into product improvements.
• Design and develop dashboards using data visualization tools for internal and external stakeholders.
• Present complex analyses to technical and non-technical audiences and manage priorities across concurrent customer projects and analysts.

Benefits

• Flexible paid time off.
• Paid holidays.
• Options for working from home.
• Paid parental leave.
• Medical, dental, vision, life, and disability benefits.
• Employee assistance program.
• Voluntary benefits and perks programs for healthy lifestyles and career growth.
• 401(k) matching: 1:1 match up to 6% of salary.
• In-person and virtual company events, including game nights, happy hours, camping trips, and sports leagues.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager