Business Data Analyst - OCBC
WHO WE ARE:
As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
Your Opportunity Starts Here.
This role should combine analytics, product insight, and business strategy. Candidate should possess the ability to turn raw data from platforms and partners into actionable insights that drive partner strategy, product design, credit risk management, and customer engagement.
Job Description
Ecosystem & Partner Data Integration
- Work with ecosystem partners such as accounting, ERP, POS, and e-commerce partners to ingest and structure their data.
- Build dashboards that map customer flows: from SMEs' sales/invoices → to embedded lending/FX/transaction products.
- Track adoption metrics for embedded finance products (e.g., loan applications, CASA/FX utilization).
- Run cohort analysis of SME behaviour (by ecosystem vertical, sector , geography).
- Spot opportunities for cross-sell/upsell embedded solutions.
- Support Credit Risk team in developing new risk metrics tailored for embedded lending (e.g., repayment behaviour tied to POS cash flow).
- Support RPM in using ecosystem data (invoices, receivables, payment flows) to enrich credit scoring models.
- Highlight early warning signals (SMEs whose revenues are declining, potential defaults).
- Provide leadership with clear monthly/quarterly reports: growth of embedded products, SME financing gaps addressed, portfolio health.
- Model business cases for new partnerships or geographies.
- Identify friction points in partner integrations by analyzing funnel drop-offs.
- Recommend pricing/fee tweaks based on utilization data.
- Strong in SQL, Python/R, data visualization (Tableau/PowerBI), and financial modeling.
- Experience in banking/fintech/ERP/e-commerce data is a huge plus.
- Preferably 7-10 years minimum working experience
- Balanced: not just a "data cruncher," but someone who can translate insights into business strategy and partner discussions.
What we offer:
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
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