Tama Handika

- Lead and manage BNC’s data ecosystem with a focus on data marts (ELT), workflow automations, and the delivery of data products such as reports, dashboards, and analytical insights. - Ensure compliance with Indonesian data regulations (e.g., UU PDP) while aligning with global best practices such as GDPR and DAMA-DMBOK (certified). - Deliver analytics solutions—including data analyses and dashboards—with a focus on generating actionable insights for business stakeholders. - Design, automate, monitor, and enhance customer segmentation models to identify and engage power users and high-value customers. - Partner with Growth and Business teams to develop, scale, and continuously improve demand generation models. - Lead a team of 9, including Data Analytics Lead and Analytics Engineering Lead, along with analysts and engineers across varying levels of seniority.

- Oversee GoPay’s data ecosystem, including data marts, ELT/ETL pipelines, workflow automations, and dashboards. - Collaborate with Data Scientists and Business teams to scale and refine Demand Generation models, aiming to grow GTV while optimizing Cost of Revenue. - Develop, automate, monitor, and enhance customer segmentation models to better identify power users and high-value segments. - Partner with Data Warehouse and Engineering teams to implement modern data architecture approaches, including Data Mesh. - Deliver a wide range of analytics products—such as dashboards, reports, and deep-dive analyses—focused on generating actionable insights for business stakeholders. - Manage the design, execution, and scaling of experiments to accelerate business growth. - Lead a team of 5 Business Intelligence Analysts across varying levels of seniority.

- Enable Analysts to extract insights from complex data effectively and deliver actionable business insights, such as RFM & customer segmentation for targeting marketing campaigns. - Manage end-to-end growth initiatives—such as campaign automation and model integration—through close collaboration with Product, Data Science, Marketing, and Research teams. - Drive a culture of experimentation by designing, analyzing, and scaling experiments in an iterative and data-driven manner. - Lead a team of 9 analysts across various levels of seniority.

- Improve adoption and retention rate while decreasing Cost Per Incremental Users, by experimenting with various treatments on data-driven customer segmentation. Contributed on growing the MoM retention rate of GoPay PayLater users from ~69% to 80%+. - Design & analyze on average 2 product/marketing experiments per week and scaling-up successful experiments to a product feature and/or a full-scale campaign. - Conduct various EDAs to assist the team in making a data-driven decision, such as performing deep dive analysis on a declining customer segment. - Lead a team of 3 Growth Analysts.

- Manage full-stack BI from ETL to data visualization, RFM segmentation, and providing actionable insights through data analysis. - Provide data and business analysis for various stakeholders, including Product, Risk, Go-To-Market, Data Science, and Ops. - Data stack: BigQuery, Airflow, Tableau, Data Studio, Python, R.

Worked with various internal stakeholders (Marketing, Risk, Collection) in different projects and roles as a general Business Analyst. 1. Business Intelligence Developed end-to-end BI processes, from ETL to deliver business insights. Data stack: Microsoft SQL Server, SSIS, Microstrategy 2. Project Management Acted as the Project Manager of 3 mobile apps: customer apps (Toyota Flex), survey apps, and collection apps. Also responsible for integrating these apps to our core system (CONFINS) and Microsoft CRM via APIs.

Developed 2 native Android applications with my team: Wayang (eBook eCommerce) and Livescore (Soccer Live Streaming).

Developed Blackberry apps and web apps for BINUS school using Java (BB SDK), ASP.Net and SQL Server.

Taught Chemistry & Physics for junior high school students.

Highest GPA in my major.