As a Senior Data Analyst in the Financial Services sector, with a focus on credit products, you will leverage your expertise in data analysis to deliver actionable insights that drive business decisions. You will be responsible for analyzing large datasets, creating financial models, and working closely with cross-functional teams to optimize credit risk strategies, customer acquisition, retention, and profitability.

What you will do

What you will need

• Minimum Qualifications (education)
• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.
• Experience:
• At least 3 years of experience in data analytics, preferably in the financial services, credit sector.
• Experience working with digital lending product
• Essential skills:
• Experience with BI/analytics tools (Google BigQuery, Data Studio..)
• Proficiency in SQL, Python is a must
• Familiarity with machine learning techniques and financial modeling.
• Advanced proficiency in statistical analysis, and data visualization.
• Ability to lead and mentor junior team members.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Strong project management skills and ability to prioritize and manage multiple tasks simultaneously.
• Personal characteristics:
• Result-oriented
• Do whatever it takes to get the job done
• Curiosity and eagerness to learn new techniques and tools
• Innovative thinking and problem-solving mindset
• Attention to detail and commitment to producing high-quality work