Associate, Campaign and Monetization - Grab

You will lead projects from the design phase of marketing packages, involving data analysis, package pricing, and the creation of go-to-market strategies. Your role requires designing operational processes, executing campaigns, and monitoring performance through dashboards and reports. You will collaborate closely with cross-functional teams, including Product, Marketing, Business Development, and Account Management, to ensure successful project delivery and merchant satisfaction.

This position focuses on leveraging Grab's assets and demand generation tools to invent marketing packages that drive revenue. You will analyze merchant and customer data to identify growth areas and conduct experiments to validate package effectiveness. The role demands a strong blend of analytical skills, strategic thinking, and project management to translate complex data into actionable business insights.

• Analyze merchant and customer data to identify growth opportunities for Grab Marketing Service.
• Design and create marketing packages tailored to specific merchant segments using data and tools.
• Conduct experiments to validate package impact and adjust details based on results.
• Determine appropriate package pricing using data-driven methods.
• Develop go-to-market strategies, including pitch decks and communication plans, in collaboration with cross-functional teams.
• Design operational processes and working sheets to execute campaigns as planned.
• Create campaign dashboards and performance reports to track and communicate results to merchants and Grab.

• Bachelor's degree in Marketing, Business Administration, Engineering, or a related field.
• Experience in processing and analyzing complex data sets.
• Strong quantitative discipline with business acumen and the ability to articulate analysis to diverse audiences.
• Strong project and stakeholder management, problem-solving, presentation, and communication skills.
• Professional proficiency in spoken and written Thai and English.

• Working knowledge of SQL is preferred.

1. Apply

2. Video or phone interview with a recruiter

3. Assessments and/or technical competency interview

4. Culture fit interview