Senior Data Analyst

We are looking for an experienced Senior Data Analyst to join the team at Technopay. In this role, you will be a key contributor to the company’s data-driven decision-making, transforming complex raw data into clear, actionable insights that support business growth and performance improvement. We are seeking someone who is not solely focused on calculations and reporting, but a strategic thinker who understands the nuances of the business and can effectively bridge the gap between technical analysis and executive-level decision-making.
 

Role Responsibilities:

• Predictive Modeling: Develop and deploy models to optimize our operations, specifically focusing on credit scoring, risk management, and NPL (Non-Performing Loan) prevention.
• Data Extraction & SQL: Write, optimize, and maintain complex SQL queries to extract and transform data from diverse production sources.
•  BI & Dashboards: Build and maintain high-impact dashboards in Power BI or Metabase, ensuring our stakeholders have real-time visibility into key metrics.
• Reporting & Presentation: Document your findings and present clear, analytical reports to senior management to guide strategic business decisions.
•  Ad hoc Reporting: Respond to ad hoc reporting requests from different teams and stakeholders, in addition to handling structured analytical projects.
•  Collaboration: Work closely with our Product, Engineering, and Risk teams to identify data requirements and solve operational challenges as they arise.

Technical Skills & Expectations:

• SQL Mastery: Ability to write complex, efficient queries, views, and stored procedures with ease.
• Python Proficiency: Comfortable using Python to solve real-world financial problems. Specifically:
• Data Manipulation: Expert use of `Pandas` and `NumPy` for cleaning and preparing large datasets.
• Exploratory Analysis: Using `Matplotlib` or `Seaborn` to uncover trends and patterns.
• Modeling & Machine Learning: Strong experience with `Scikit-learn` for building regression and classification models. High value placed on experience with tree-based models (e.g., `XGBoost`, `LightGBM`) critical for risk assessment and predictive analytics in our industry.
• BI Tools: Extensive experience with Power BI (including complex DAX expressions) or Metabase.

 

Qualifications:

• Experience: Minimum 5+ years of professional experience in data analysis or a closely related role.
• Education: Bachelor’s or Master’s degree in Statistics, Industrial Engineering, Data Science, Financial Management, Economics, or Computer Science.
• Analytical Mindset: Exceptional problem-solving skills. Ability to look at a complex business problem, break it down, and propose a data-backed solution.
• Communication Skills: Must be comfortable documenting work and communicating complex insights to senior executives clearly and compellingly.

 
Nice to haves:

• Direct experience in LendTech, Banking, or E-commerce.