We are looking for a highly analytical and commercially minded Business & Data Analyst to support the launch and growth of our consumer lending business in Canada.

This is a key role in building our data and analytics capabilities from the ground up. The successful candidate will initially play a hands‑on role in establishing our data, BI and reporting foundation, and will progressively take on broader business analytics across customer acquisition, application and conversion, product performance, operations, customer lifecycle and overall business performance.

The ideal candidate combines a robust quantitative and analytical foundation, hands‑on data capabilities, and strong business sense . You should be comfortable working directly with data, building dashboards and reporting solutions from scratch, identifying the drivers behind business performance, and translating analytical findings into actionable business recommendations.

Experience in consumer lending, fintech, banking or other credit‑related businesses is highly preferred.

Key Responsibilities

1. Business Intelligence & Reporting

- Build and develop the company's BI and reporting capabilities from the ground up.
- Develop and maintain dashboards and recurring reports covering key business and operational metrics.
- Establish and maintain a consistent KPI framework and business performance reporting structure.
- Extract, consolidate and transform data from multiple sources to support business reporting.
- Automate recurring reporting processes and continuously improve reporting efficiency and accuracy.
- Work closely with business stakeholders to understand reporting needs and translate them into practical data solutions.




- Ensure the accuracy, consistency and reliability of key management reports and dashboards.

2. Data Management & Analytics

- Use SQL and other analytical tools to extract, clean, transform and analyze data from multiple sources.
- Build reliable datasets and analytical tables to support reporting and business analysis.
- Conduct data quality checks and identify data gaps, inconsistencies and anomalies.
- Develop a robust understanding of data structures, business definitions and relationships across key systems.
- Work with Technology and other cross‑functional teams to improve data availability, quality and usability.
- Support the development of data processes and analytical infrastructure as the business grows.

3. Business Performance Analytics

- Analyze end‑to‑end business performance across customer acquisition, applications, conversion, funding, repayment and operations.
- Monitor key business metrics and identify trends, anomalies and opportunities.
- Analyze acquisition channels and marketing campaigns to understand customer acquisition and conversion performance.
- Analyze the application funnel and identify key customer drop‑off points and conversion drivers.
- Conduct cohort, segmentation and trend analysis to understand changes in business performance over time.




- Analyze loan origination, loan volume, average loan size, revenue and other key business metrics.
- Conduct root‑cause analysis and translate findings into actionable business recommendations.

4. Product & Customer Analytics

- Analyze customer behavior and performance across the customer journey, from acquisition and application through funding and repayment.
- Analyze product performance, customer segments, conversion rates and customer behavior.
- Identify opportunities to improve customer acquisition, application experience and product conversion.
- Support Product and Business teams with data‑driven analysis for new products, features, processes and initiatives.
- Conduct customer segmentation, cohort analysis and other analytical exercises to identify customer trends and business opportunities.
- Support A/B testing and other data‑driven initiatives where appropriate.

5. Business Decision Support

- Partner closely with Business, Product, Marketing, Operations, Finance and Technology teams to support data‑driven decision making.
- Translate complex data and analytical findings into clear business insights and actionable recommendations.
- Provide ad‑hoc analysis to support strategic and operational business decisions.
- Proactively identify emerging business trends, operational issues and opportunities through data analysis.
- Prepare analytical materials and insights for management discussions and business reviews.
- Go beyond reporting what happened to understand why it happened, what it means for the business, and what actions should be taken next .

Qua

📌 Business and Data Analyst (Toronto)
🏢 Qfin
📍 Toronto