Payhippo,
a comapny whose mission is to make financial services seamless for African
SMEs, is recruiting to fill the position below:
Job
Position: Data Analyst
Job
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.
- 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.
- 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.
Requirements
- 3+ years of 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.
- 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.
- 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.
- Ability to work independently
     and collaboratively in a fast-paced environment.
- Strong organizational and time
     management skills to handle multiple projects and meet deadlines.
Method
of Application
Interested and qualified candidates should send their CV to: careers@payhippo.ng using
the Job Position, 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. 
 
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