Back to job search

Senior Data Analyst Manager

Kredivo Group (Jakarta, Jakarta, Indonesia)
DKI Jakarta, Indonesia 🇮🇩
Kredivo Group is Southeast Asia’s leading provider of digital financial services through its brands Kredivo, KrediFazz and Krom. Kredivo is the leading digital credit platform in Indonesia and Vietnam that gives customers instant credit financing for ecommerce and offline purchases, and personal loans, based on real-time decisioning. Kredivo users can buy now and pay later across the entirety of Indonesia’s retail commerce network with one of the lowest interest rates amongst digital credit providers in the country. Krom Bank Indonesia (formerly known as Bank Bisnis Internasional, IDX: BBSI) is the group’s bank entity and the operator of the soon-to-be-launched Indonesian neobank Krom. Kredivo Group is backed by leading financial and strategic investors such as Mizuho Financial Group, Square Peg Capital, Jungle Ventures, Naver Corp, Mirae Asset, Telkom Indonesia and Victory Park Capital among others.

About this position

The Senior Data Analyst Manager is responsible for leading analytics projects, developing dashboards and reports, and providing insights to improve performance across various sales roles.

Responsibilities

• Develop dashboards, reports, and visualizations to present findings for promoter channel
• Targets, Incentive automation, and giving performance visibility across the sales roles
• Deep dive into dashboards and give insights to key stakeholders to improve the performance
• Manage analytics projects from ideation to completion.
• Ensure the accuracy, integrity, and timeliness of delivered analyses.
• Lead Product/Growth/ETL teams to address business challenges using data.
• Work with databases, and visualization tools (e.g., SQL, Python, Power BI).
• Collaborate with ETL and Optimize data pipelines and workflows to improve efficiency

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
• 7-8+ years of experience in data analysis or a similar role.
• Proficiency in data tools like SQL, Python, R, Excel, and visualization software.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication and presentation skills.