обновлено 1 день назад
Senior Manager, Analytics & ML (AdTech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Analytics & ML (AdTech) (SQL/BI/ML): Leading an analytics team within an AdTech division to deliver proactive, narrative-driven insights that maximize ad inventory yield, with an accent on team development, stakeholder management, and operational rigor. Focus on translating Ads strategy into high-impact analysis, reviewing SQL, dashboards, and ML models, and operationalizing advanced machine learning initiatives such as churn prediction and lead scoring.
Location: Berlin, Germany; hybrid working with attendance at the Berlin campus 2 days a week
Company
operates a technology-driven local delivery and quick-commerce platform across around 65 countries, headquartered in Berlin.
What you will do
- Lead, mentor, and develop a team of data analysts through regular 1:1s, career paths, and coaching in business acumen and data storytelling.
- Own the team delivery pipeline by introducing sprint planning or structured intake processes and prioritizing high-ROI projects.
- Manage relationships and roadmaps with Director-level stakeholders across Commercial, Product, and Engineering.
- Translate Ads division strategy into quarterly goals tied to ad revenue growth and vendor ROI.
- Review SQL queries, dashboards, presentations, and ML models for quality, optimization, usability, and regulatory compliance.
- Partner with analysts, data scientists, and engineers to operationalize advanced ML models, including churn prediction, lead scoring, siamese data simulation, and DML.
Requirements
- 10+ years of experience in Data Analytics, BI, or Data Science, preferably in Monetization, AdTech, or a Marketplace environment.
- 5+ years of mentoring, leading, or managing analysts, including experience as a Technical Lead or agile Scrum Master for a data team.
- Expertise in SQL and BI visualization tools such as Tableau or Looker.
- Working knowledge of Python, machine learning concepts, and Google Cloud Platform or a similar platform.
- Strong prioritization, stakeholder management, and commercial fluency, including understanding of digital ad auctions such as CPM and CPC.
- Ability to measure initiative profitability in a complex multinational organization and ensure adherence to GDPR.
Culture & Benefits
- Hybrid work model with regular face-to-face collaboration at the Berlin campus.
- 27 days of holiday, increasing with the second and third years of service.
- Health checkups, meditation, yoga, gym support, and bicycle subsidy.
- Employee Share Purchase Plan, sabbatical bank, public transportation discount, life and accident insurance, and corporate pension plan.
- €1,000 annual educational budget, language courses, parental support, and meal or food vouchers.
- Commitment to diversity, inclusion, and accessibility support throughout the hiring process.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →