The Opportunity

You're a wizard who is good with numbers! You disdain inefficiency and you're obsessed with fresh insights. The tools are in your code. You manipulate Excel and other statistical tools like R, Python and SQL with ease. Here's a training ground to make science out of data.

What You Will Learn

You will be working closely with the team in all areas in Business Development, Marketing, Credit and Operations.

Job Description

- Collect data from different business functions and track relevant metrics related to performance and efficiency

- Design, prepare and review reports on the business performance across functions, and gather insights based on data analytics.

- Understand database schema to identify and extract essential data to create value-added reports.

- Develop models using statistics and business rules to identify historical trends and predict future outlook.

- Perform testing and validation of models using statistical methods to establish confidence levels.

- Perform market research and collect external data points to augment data analysis.

· Manage and maintain existing dashboards / reports and develop new dashboards / reports for business decisions with a strong focus on business intelligence reports for customers.

· Preparing ad-hoc reports for (top) management.

· Turning data into business insights / knowledge for business growth opportunity.

· Create and maintain a comprehensive, effective and customized reporting structure / process framework for future analytical use in order to support decision making.

· Contribute to data processing and quality improvement in all data sources and identifying solutions to transform manual data tasks into machine-based solutions.

· Identify data gaps, and provide solutions to how we can fill these gaps.

Requirements

- Strong interest in FinTech startups.

- University degree or above information systems, computer sciences, statistics, business administration or related discipline.

- Min. 1-3 years of data analytics experience (could be internships, school projects, own ventures, etc.).

- Strong analytical skills and statistical/ mathematical knowledge, with proven ability to present and communicate analysis in a visual manner (charts) to management and be able to deep dive into the data sets if required

- Possess a keen attention to detail

- Self-starter who can handle being able to make sense of situations when guidance is not as abundant.

- Financial knowledge is a plus