Top 3 Reasons To Join Us
Go build a great FinTech product
Go build it on top of the state-of-the-art tech
Go together with top-of-mind people and team.
The Job
Job Overview
We are seeking a skilled Data & Business Intelligence Professional to join our team. In this role, you will transform data into meaningful insights through compelling data storytelling and intuitive visualizations, with a strong focus on generating actionable insights that directly support business decision-making.
You will work closely with business stakeholders to understand key problems, design analytics solutions, and deliver impactful dashboards that support data-driven decision-making.
Key Responsibilities
- Collaborate with business teams to understand requirements, define key metrics, and translate business questions into analytical solutions.
- Analyze large datasets to identify trends, root causes, and actionable insights that directly influence business decisions.
- Design and develop dashboards with clear business narratives, focusing on driving understanding and decision-making (not just reporting).
- Communicate insights clearly and effectively to both technical and non-technical stakeholders.
- Perform ad-hoc analyses to support business initiatives, performance tracking, and strategic planning.
- Work closely with Data Engineers to understand data pipelines, ensure data quality, and propose data structure improvements for analytics use cases.
- Contribute to the design of analytical data models / data marts to enable scalable and reliable analytics.
Your Skills and Experience
Must-Have:
- Strong proficiency in SQL and experience with relational databases (PostgreSQL, Oracle).
- Hands-on experience with BI tools such as Power BI, Tableau, or Looker.
- Strong data visualization and data storytelling skills, with proven ability to generate actionable insights that support business decision-making.
- Ability to connect data insights to business context, quantify impact, and provide clear recommendations for decision-making.
- Good foundational understanding of data pipelines and data transformation to effectively collaborate with Data Engineers on data preparation.
- Strong analytical thinking and problem-solving skills.
- Honesty, dignity, and responsibility.
- Precision, passion, open-mindedness, and quick self-learning skills in big data, as well as enthusiasm for solving business problems.
For Senior-level candidates, additional expectations include experience in hypothesis-driven analysis, predictive or forecasting models, scenario modelling, leading end-to-end analytics projects, and delivering strategic recommendations to senior stakeholders.
Nice-to-Have:
- Background or experience of financial services, securities, or fintech.
- Hands-on experience with cloud platforms (GCP, Azure, AWS).
- Experience with Python, R, or similar programming languages.
Exposure to or ongoing learning in Data Science, Data Modelling, or Data Governance concepts.
Why You'll Love Working Here
- Attractive salary
- Government Social Insurance is based on full of gross salary
- Full salary during probation
- Working Monday - Friday, 8am:5pm
- For every 5 work-years, +2 day to annual leave
- Diverse company culture activities: Annual Year End Party, Quarterly party, Company outings, Team building, Coffee and Snack, etc