Responsibilities

• Job Title: Data Analyst

  Location: Nigeria

  Your Mission

  • We are looking for a Data Analyst responsible for collecting, analyzing, and interpreting data to help unblock multiple teams.
  • Your insights will drive informed business decisions, optimize strategies, and enhance the user experience of our products and services.
  • The ideal candidate will have a strong analytical mindset, proficiency in statistical analysis, and the ability to effectively communicate complex findings to stakeholders.

  Responsibilities
  Data Collection and Cleaning:

  • Identify, collect, and organize relevant data from various sources, including internal databases, banking app usage logs, external APIs, and third-party vendors.
  • Perform data cleaning, validation, and transformation to ensure accuracy and consistency.

  Data Analysis and Interpretation:

  • Develop and implement data models, algorithms, and statistical techniques to extract meaningful insights from raw data.
  • Conduct in-depth statistical analysis, including regression models, predictive modeling, and data mining, to support business decisions, risk assessment, and strategic planning.
  • Collaborate with cross-functional teams to design and conduct experiments to test hypotheses, validate business strategies, and enhance the app's features and functionalities.
  • Analyze lending portfolios, borrower profiles, and lending trends to identify risks, opportunities, and areas for improvement.
  • Analyze banking app usage patterns, user behavior, and customer satisfaction metrics to optimize the user experience and drive app engagement.

  Reporting and Visualization:

  • Prepare and present comprehensive reports, dashboards, and visualizations to communicate analytical findings and recommendations to key stakeholders.
  • Develop automated reporting systems and tools to streamline data analysis processes and improve efficiency.
  • Monitor and track lending metrics, banking app performance, key performance indicators (KPIs), and other relevant data points to identify performance trends and deviations.

  Data Quality and Integrity:

  • Monitor data quality, identify data anomalies, and implement corrective actions to maintain data integrity and accuracy.
  • Establish and maintain data governance practices, including data documentation, data dictionaries, and data lineage, for both lending and banking app data.

  Collaboration and Communication:

  • Collaborate with stakeholders, including business managers, risk analysts, product managers, and IT teams, to understand their data needs and provide analytical support.
  • Clearly communicate complex analytical concepts and findings to both technical and non-technical audiences.
  • Participate in cross-functional projects and initiatives to enhance data analytics capabilities, improve lending strategies, and enhance the user experience of the banking app.