2 дня назад
Senior Digital Advertising Data Analyst (AI)
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 Digital Advertising Data Analyst (AI): Analyzing campaign and advertising datasets to optimize client KPIs, detect ad fraud, and support revenue-critical decisions with an accent on SQL-driven investigation, reporting automation, and client-facing dashboards. Focus on uncovering hidden campaign performance, identifying anomalous traffic, and translating complex data into high-pressure commercial recommendations.
Location: Onsite in Taipei, Taiwan
Company
A SaaS company that applies artificial intelligence to business decision-making and develops software designed to turn AI into measurable business returns.
What you will do
- Analyze real-time digital advertising campaign data and recommend optimizations that improve client KPIs.
- Develop and maintain fraud detection reports to identify suspicious traffic and protect client budgets.
- Investigate performance changes, anomalies, and campaign success drivers before issues escalate.
- Present analytical findings and recommendations to management and clients during high-pressure discussions.
- Support contract renewals and negotiations by connecting campaign insights to commercial outcomes.
Requirements
- Expert-level SQL skills, including complex and performant queries across large, nested datasets.
- Proficiency in Python for data manipulation with Pandas and NumPy and for automating reporting tasks.
- Ability to build clear, client-facing dashboards in Tableau.
- Advanced Google Sheets skills for rapid tactical analysis.
- Strong business judgment, analytical rigor, curiosity, and the ability to remain calm and objective with stressed stakeholders.
Culture & Benefits
- Direct involvement in major contract negotiations and commercially significant decisions.
- Opportunity to influence the company’s financial health through data-driven recommendations.
- Work with cross-regional business operations across APAC, Europe, and the U.S.
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