Mid sized business
1 to 50 Employees
Payhippo, a startup that seeks to simplify financial services for African SMEs is hiring for the following position:
Title: Data Analyst
- 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.
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.
- 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.
- 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.
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.
- 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.
- 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.
- 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.
Deadline: Not Specified.
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.