Data Analyst
Location: Lagos
Job Schedule: Full time
Role Overview
- The Data Analyst is responsible for collecting, analyzing, and interpreting data to generate actionable insights that drive business decisions across credit risk, operations, finance, marketing, and customer experience.
- The analyst will work closely with cross-functional teams to develop dashboards, monitor key performance indicators (KPIs), identify trends, and support strategic initiatives through data-driven recommendations.
Key Responsibilities
- Collect, clean, validate, and analyze large datasets from multiple sources to ensure data accuracy and integrity.
- Develop and maintain dashboards, reports, and scorecards to monitor business performance and operational metrics.
- Analyze customer behavior, transaction patterns, loan portfolio performance, and repayment trends to provide actionable insights.
- Support the Credit Risk team by analyzing default rates, delinquency trends, customer segmentation, and risk indicators.
- Monitor product performance and customer engagement metrics to identify opportunities for business growth.
- Perform ad hoc analysis to support decision-making across departments, including
- Finance, Operations, Sales, Marketing, and Product.
- Collaborate with business stakeholders to understand reporting requirements and translate them into meaningful analytical solutions.
- Design and automate recurring reports to improve efficiency and reduce manual reporting.
- Identify data quality issues and work with relevant teams to resolve inconsistencies.
- Develop predictive and descriptive analyses to support business forecasting and strategic planning.
- Interpret complex datasets and communicate findings through clear visualizations and presentations.
- Track key business KPIs such as customer acquisition, loan disbursement, repayment
- performance, portfolio quality, revenue, and operational efficiency.
- Assist in A/B testing, campaign performance analysis, and customer retention initiatives.
- Ensure compliance with data governance, privacy, and security policies.
- Continuously identify opportunities to improve reporting processes and analytical capabilities.
- Provide risk insights to support effective collections and recovery strategies.
Key Performance Indicators (KPIs)
The Data Analyst’s performance will be measured using, but not limited to, the following KPIs:
- Accuracy and timeliness of reports and dashboards.
- Data quality and integrity metrics.
- Dashboard adoption and stakeholder satisfaction.
- Reduction in manual reporting processes through automation.
- Quality and impact of business insights delivered.
- Support provided to business units in achieving operational and financial targets.
- Timely completion of analytical requests.
- Improvement in reporting efficiency and decision-making through analytics.
Requirements
- Bachelor’s Degree in Statistics, Computer Science, or a related quantitative discipline.
- 2–4 years of experience as a Data Analyst, preferably within a FinTech, Financial
- Services, Banking, or Technology environment.
- Experience working with financial, transactional, or lending datasets is an added advantage.
- Advanced Microsoft Excel and SQL skill.
- Experience with Power BI, Tableau, or Looker.
- Proficiency in Python or R for data analysis.
- Strong understanding of relational databases.
- Knowledge of ETL processes and data warehousing concepts.
- Experience using APIs and integrating multiple data sources is an advantage.
- Strong statistical and analytical thinking.
- Ability to identify trends, anomalies, and business opportunities.
- Excellent problem-solving and critical-thinking skills.
- Ability to convert complex data into meaningful business insights.
- Excellent communication and presentation skills.
- Strong attention to detail and accuracy.
Added Advantage:
- Professional certifications in Data Analytics, Power BI, SQL, Python, or Data Science.
- Experience working with cloud data platforms such as AWS, Azure, or Google Cloud.
- Familiarity with FinTech products such as digital lending, payments, wallets, or embedded finance.
- Knowledge of financial reporting, risk analytics, and regulatory reporting is an added advantage.
Application Closing Date
31st October, 2026.
How to Apply
Interested and qualified candidates should:
Click here to apply online