Global Marketing Analytics Lead — Growth & Incrementality

inDrive; Jakarta Pusat; On-site; IDR 240,000,000 - 420,000,000; Full time

Job summary

inDrive is seeking a Senior Marketing Analyst to lead acquisition & analytics across channels and countries. You will own incrementality measurements, forecast outcomes, and provide quantitative insights to optimize the marketing budget.

Partner with data engineering and marketing teams to design tests, analyze results, and implement statistical approaches that scale our global acquisition strategy. Strong SQL, Python/R, and BI tooling are essential.

Qualifications

• 3+ years of experience in marketing, product or growth analytics roles.
• Strong understanding of performance channels and user acquisition.
• Strong SQL skills.
• Python or R for statistical modeling, cluster analysis, and data manipulation.
• Hands-on experience with BI tools (Tableau, Looker).
• Solid understanding of statistical analysis, A/B testing, incrementality measurement, attribution modeling.
• Ability to communicate complex findings in a clear, business-friendly way.

Responsibilities

• Evaluate performance of marketing campaigns across acquisition channels: Google, Meta, TikTok, OOH, etc
• Build automated tools to improve channel efficiency, user acquisition
• Design and analyze A/B tests to assess impact of messaging, creatives, targeting, and product changes
• Contribute to marketing budget planning by forecasting outcomes of proposed initiatives
• Partner with data engineering and marketing teams to improve data pipelines and ensure data quality
• Provide actionable recommendations to optimize buying & channels incrementality
• Develop and refine the analytical logic underpinning user segmentation & behavioral triggers

Skills

Marketing analytics

SQL

Python

R

Tableau/Looker

A/B testing

Attribution modeling

Tools

Tableau

Looker

Job description

inDrive is seeking a Senior Marketing Analyst to lead acquisition & analytics across channels and countries. You will own incrementality measurements, forecast outcomes, and provide quantitative insights to optimize the marketing budget.

Partner with data engineering and marketing teams to design tests, analyze results, and implement statistical approaches that scale our global acquisition strategy. Strong SQL, Python/R, and BI tooling are essential.