Manager, Data Analytics
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Role details
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Job description
The Manager, Data Analytics will lead a team of 4-6 analysts delivering reporting and analytics for LiveRamp customers, powered by LiveRamps Clean Room. This is a player-coach role: you will own the growth, quality, and throughput of the team while staying hands-on with customer data yourself on our most complex and highest-visibility engagements. You will partner closely with Customer Success, Product, and Engineering, and act as the senior analytics voice in front of customer stakeholders.
You Will:
- Manage, coach, and develop a team of data analysts and senior data analysts-setting goals, giving regular feedback, running performance and career development conversations, and hiring to grow the team.
- Own delivery across the teams portfolio: allocate analysts across customer engagements, set priorities and timelines, and hold the bar on quality and client-readiness of every deliverable.
- Stay hands-on. Personally lead analyses on complex, ambiguous, or strategically important engagements, and serve as the reviewer of record for methodology and interpretation on the rest.
- Build for scale. Invest the teams time in analytics systems, templates, and reusable libraries of analysis that generalize across customer use cases and verticals rather than one-off work.
- Establish and enforce standards for analytical rigor, peer review, documentation, and reproducibility-including for observational analytics on multi-dimensional datasets and experimental designs.
- Serve as a senior point of contact for customer stakeholders: shape requirements, present findings, handle escalations, and build durable relationships with analytics and marketing leaders.
- Translate what the team learns from customers into product direction, working with Product and Engineering on the measurement roadmap and on new offerings in the analytical space.
- Drive adoption of AI across the teams workflows-developing new applications and tools for measurement data analysis to expand product capability and improve client deliverables.
Your team will:
- Work closely with product and engineering teams to support and understand LiveRamps suite of measurement products and their respective methodologies.
- Dive deep with internal and external clients to understand their measurement and analytical needs and translate them into product improvements.
- Help design new offerings in the analytical space.
- Design and develop insightful dashboards using a variety of data visualization tools to inform decision-making for both internal and external stakeholders., 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 persons 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.
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.
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.
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.
Requirements
Data Analysis, Customer/Client Research, Marketing, Financial Services, Artificial Intelligence (AI), Data Quality, Computer Networks, Performance Metrics, Healthcare Providers, Data Analysis, * 6+ years of experience in analytics or data science, including 2+ years leading analysts-either as a people manager or as a team/project lead with clear ownership of others work and development.
- Bachelors degree in Statistics, Economics, Engineering, Computer Science, or another quantitative field.
- Deep expertise in advertising measurement and attribution. AdTech industry experience required; familiarity with the TV industry is a plus.
- Still fluent in the craft: able to independently build analysis in SQL, Python, Excel, and statistical methods, and to review someone elses methodology and catch whats wrong with it.
- Strong track record of creating and presenting data-driven dashboards and presentations that tell a story, with hands-on experience in Metabase, Tableau, and/or Looker.
- Solid understanding of data modeling techniques, with the ability to explain complex concepts to different audiences.
- Demonstrated success in client-facing environments, including presenting complex analyses to large, non-technical audiences and adapting to technical ones-and handling escalations with credibility.
- Experience managing competing priorities across multiple concurrent customer projects and multiple analysts, without letting quality slip.
- Interest, willingness, and demonstrated ability to quickly pick up new technology, including AI solutions, and to bring a team along with you.
- A self-starter who brings energy, passion, and creativity to work every day, and who takes genuine satisfaction in other peoples growth.
Benefits & conditions
The approximate annual base compensation range is $150,000 to $191,500. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors, including the applicants 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: 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.
About the company
LiveRamp is shaping the future of responsible data collaboration between the worldβs leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the LiveRamp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. LiveRamp is headquartered in San Francisco, California, with offices worldwide. Learn more at LiveRamp.com.
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