Data Analyst at Payhippo

Payhippo, a company whose mission is to make financial services seamless for African SMEs, is recruiting to fill the position below:

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.

Requirements

• 3+ years experience as a Data Analyst or similar role, preferably in the lending or financial services industry with exposure to banking app data.
• Solid experience with Big Query
• Strong proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms.
• Solid understanding of statistical concepts, regression analysis, and predictive modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Strong verbal and written communication skills to effectively convey complex findings to diverse stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong organizational and time management skills to handle multiple projects and meet deadlines.
• Experience with data cleaning, transformation, and manipulation using tools like Pandas, Excel, or similar software.
• Familiarity with database management systems (DBMS) and data querying languages.
• Knowledge of lending operations, credit risk assessment, loan portfolio management, and banking app analytics is desirable.

How to Apply
Interested and qualified candidates should send their CV to: [email protected] using the Job Title, your first and last name as the subject of the email.

Note: Please share a portfolio of your work if applicable to your skills and experience