3 дня назад
Manager, Data Analytics (AdTech)
150 000 - 191 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Data Analytics (AdTech): Leading customer reporting and analytics through LiveRamp's Clean Room with an accent on advertising measurement, attribution, analytical rigor, and scalable analytics systems. Focus on managing analysts, personally solving complex measurement problems, building reusable analysis tools, presenting findings to customer stakeholders, and driving AI adoption across workflows.
Location: Hybrid, 2 days per week in-office in San Francisco, New York City, or Seattle
Annual base compensation: $150,000–$191,500
Company
develops a data collaboration network and Clean Room solutions for brands, retailers, financial services providers, and healthcare innovators.
What you will do
- Manage, coach, develop, and hire data analysts and senior data analysts.
- Own delivery across customer engagements, including staffing, priorities, timelines, quality, and client readiness.
- Lead complex customer analyses and review methodology, interpretation, documentation, and reproducibility.
- Build reusable analytics systems, templates, and libraries across customer use cases and verticals.
- Present findings, shape requirements, handle escalations, and build relationships with customer analytics and marketing leaders.
- Work with Product and Engineering on the measurement roadmap, new analytical offerings, and AI applications for measurement data.
Requirements
- 6+ years of experience in analytics or data science, including 2+ years leading analysts.
- Bachelor's degree in Statistics, Economics, Engineering, Computer Science, or another quantitative field.
- AdTech industry experience and deep expertise in advertising measurement and attribution.
- Hands-on proficiency with SQL, Python, Excel, statistical methods, and data modeling.
- Experience creating and presenting data-driven dashboards using Metabase, Tableau, and/or Looker.
- Experience managing multiple customer projects, presenting complex analyses, and handling client escalations.
Nice to have
- TV industry familiarity.
Culture & Benefits
- Hybrid work with two in-office days per week.
- Player-coach role combining people leadership with hands-on analytics.
- Collaboration with Customer Success, Product, and Engineering.
- Opportunity to develop AI-powered analytics tools and new measurement capabilities.
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