LinkedIn Marketing Data Analyst (12 months contract) in Singapore, Singapore

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.

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The Targeting & Relevance team, under Global Marketing Operations, is responsible for supporting business goals through audience targeting, with an emphasis on developing predictive models to improve campaign engagement and conversion rates. In addition, Targeting & Relevance develops and maintains in-house tools to manage marketing’s data mart, audience sizing and targeting, global campaign prioritization, and lead processing.

You will drive to do whatever it takes to solve problems in real time – working interdependently, diligently, resourcefully and creatively. If this describes you, and you want to transform your career, we welcome your application.

Responsibilities

  • Provide structured and ad-hoc analysis and Insights for marketing

  • Maintain existing models, personas, and segments for regions

  • Provide the required support to International targeting

  • Understand audience targeting logic for international campaigns

  • Improve campaign KPIs by applying predictive models to audience targeting

  • Partner with marketing managers in regions to drive business goals

  • Own campaign forecasting and prioritization across business lines in regions

  • Successfully work with cross-functional teams

Basic Qualifications

  • 2+ years experience in analysing data in marketing or sales context

Preferred Qualifications

  • Experience assimilating new marketing technologies and processes

  • Experience in marketing or sales function ranging from relational databases to marketing automation tools geared toward business users

  • Experience in providing insights from large volumes of data

  • Advanced level SQL and Tableau