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Lead Data Scientist with 7+ years in Data-Driven Decision-Making & Reporting Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analytics professional with 7+ years of experience driving data-driven decision-making across fintech, e-commerce, logistics, and payment industries. Proficient in developing analytics frameworks, automating reporting systems, and delivering actionable insights through advanced SQL, Tableau, and data visualization tools.
Universitas Indonesia
Bachelor Degree · Industrial Engineering
June 1, 2010 – July 1, 2014
Yokke (PT Mitra Transaksi Indonesia)
Department Head, Commercial Data Strategy & Insight
March 1, 2026 – May 1, 2026
Jakarta, Jakarta, Indonesia
Bytedance
Data Analytics Lead
September 1, 2022 – August 1, 2025
Jakarta, Jakarta, Indonesia
Indonesia Financial Group (IFG)
Data Analytics Manager
December 1, 2021 – August 1, 2022
Jakarta, Jakarta, Indonesia
Tokopedia
Data Analyst
June 1, 2019 – December 1, 2021
Jakarta, Jakarta, Indonesia
Telkomsel
Customer Care Business Process & Policy
May 1, 2015 – June 1, 2019
Jakarta, Jakarta, Indonesia
Cultural Fit Analysis
The candidate has worked across various prominent companies in Indonesia (Tokopedia, Bytedance, Telkomsel, IFG, Yokke), indicating adaptability to different corporate cultures and business environments. Their experience in diverse domains like payment acquiring, e-commerce, logistics, and fintech suggests a broad understanding of different business models and data challenges. The leadership roles held align well with the target role of Lead Data Scientist, demonstrating a progression in responsibility and strategic thinking.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, stakeholder management, and team mentoring skills, which are crucial for a Lead Data Scientist role. Their experience in developing analytics frameworks and automating reporting processes indicates a focus on operational efficiency and scalability. The ability to collaborate with cross-functional teams (Business, Product, Ops, Finance) suggests good interpersonal and communication skills for driving data-driven initiatives.