Data Analytics Officer at LAPO Microfinance Bank Limited

Key Responsibilities:

• Data Collection & Preparation:
  • Gather data from various sources (e.g., databases, CRM systems, web analytics, market research).
  • Clean and preprocess data to ensure accuracy and consistency.
  • Transform data into usable formats for analysis.
• Data Analysis & Interpretation:
  • Conduct data analysis using statistical methods and tools.
  • Identify trends, patterns, and anomalies in data.
  • Interpret data and draw meaningful conclusions.
  • Develop data visualizations (e.g., charts, graphs, dashboards) to communicate findings effectively.
• Reporting & Communication:
  • Prepare reports and presentations summarizing data analysis results.
  • Communicate findings to stakeholders in a clear and concise manner.
  • Answer ad-hoc data requests from business users.
• Data Modeling & Visualization:
  • Develop data models to represent business processes and data relationships.
  • Create interactive dashboards and visualizations to provide insights into key metrics.
• Collaboration & Collaboration:
  • Collaborate with business users to understand their data needs and provide analytical support.
  • Work closely with IT teams to ensure data quality and availability.
• Data Quality Management:
  • Implement data quality checks and procedures.
  • Identify and resolve data quality issues.
• Tool & Technology Proficiency:
  • Utilize data analytics tools and technologies (e.g., SQL, R, Python, Tableau, Power BI). Specify the tools used by the organization.
  • Stay up-to-date with new data analytics tools and techniques.