Senior Marketing Analytics Strategist - Measurement & AI

LINKEDIN SINGAPORE PTE. LTD.; Singapore; Hybrid; SGD 180,000 - 240,000; Full time

Job summary

LinkedIn Singapore Pte. Ltd. is seeking a Senior Strategist to deliver data-driven insights and champion measurement excellence for global clients, partnering with sales, product, and marketing teams.

You'll drive advanced analytics strategies, apply SQL/Python to large datasets, and influence cross-functional partners on new product features and go-to-market ideas while maintaining data privacy and governance standards.

Qualifications

• 10+ years of experience in analytics, marketing science, measurement, or consulting.
• 5+ years of experience using SQL or similar querying language.
• 3+ years of experience in project or program management.

Responsibilities

• Lead client engagements and translate data-driven insights into actionable strategies for clients and agency partners.
• Synthesise complex data into clear, actionable recommendations for senior stakeholders.
• Design and lead advanced measurement initiatives (experimentation, incrementality, attribution, clean rooms) to optimise marketing performance.
• Apply SQL, Python and visualization to analyse LinkedIn and third-party data at scale.
• Advise cross-functional partners to identify innovation opportunities including new features and go-to-market strategies.
• Drive thought leadership on the future of B2B measurement and industry best practices.
• Oversee end-to-end delivery of complex, custom projects.
• Uphold data governance, privacy, security and coding standards.

Skills

SQL/Python

Digital and Performance Marketing

Stakeholder Management

Consulting

Education

Bachelor's degree in Statistics, Data Science, Economics, Engineering or Mathematics

Job description

LinkedIn Singapore Pte. Ltd. is seeking a Senior Strategist to deliver data-driven insights and champion measurement excellence for global clients, partnering with sales, product, and marketing teams.

You'll drive advanced analytics strategies, apply SQL/Python to large datasets, and influence cross-functional partners on new product features and go-to-market ideas while maintaining data privacy and governance standards.