Yusuf Rahmadi

Led two analytics divisions at Tokopedia (a ByteDance Company). Developed an attribution model driving ~IDR 120B in revenue. Standardized reporting logic, reducing discrepancies by 95%. Optimized ad algorithms (+~IDR 2.1B/mo), launched self-service analytics (–29K+ hrs), mentored 5 analysts (+30% speed). Promoted from Senior Data Analyst for performance and leadership impact.

Established an analytics function to support Ads Sales at Tokopedia. Designed SSOT datamarts and standardized reporting logic. Launched self-service analytics in R, enabling same-day data access vs prior 7-day SLA. Delivered dashboards with 100% availability via Tableau, Looker Studio, and GSheet. Improved accuracy and consistency for internal and client reports.

Partnered with GoFood Sales to create merchant performance reporting and actionable insights. Led development of reports that increased campaign adoption and takerate by over 5%. Collaborated cross-functionally with Product, BI, and Engineering teams to support product growth, strategic analysis, and data-driven decision making.

Built and maintained campaign trackers with 100% data accuracy, covering 1000+ merchants. Created custom reports that improved campaign ROI by 10% and supported acquisition. Delivered analysis enabling sales teams to optimize targeting and performance

Streamlined campaign operations workflow at Gojek, reducing manual errors by 90% and improving execution efficiency. Provided ad-hoc insights to support sales materials and enhance merchant engagement, contributing to stronger campaign alignment between sales and operations.

Managed TV, OOH, and radio media buying execution for Wall’s and Magnum brands at Mindshare. Oversaw large-scale campaigns across multiple channels, ensuring 100% alignment with budget plans and media strategy. Coordinated with planners and vendors to deliver accurate reporting and on-time campaign launches.

Consolidated data for dashboards supporting executive presentations at Mindshare. Automated reporting processes using VBA macros to combine data from 40+ Unilever brands, reducing turnaround from 24 hours to 1 hour and improving accuracy. Supported planners in delivering timely insights and maintaining data integrity across multiple channels.

Grade: 3.16/4.0

Activities and societies: Final Project: Development Freemium Module TEL US ( Telkom University Store) Application Using Iterative Incremental Method and Laravel Framework

Completed a Bachelor's Degree in Information Systems with a GPA of 3.16/4.0. Developed a freemium module for the TEL US (Telkom University Store) application using the Iterative Incremental Method and Laravel Framework for the final project.

Participated in an internal program focused on Business Intelligence. Received training in advanced analytics, data visualization, and business decision support.