Data Manager – SME & Merchant Analytics
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Job Location:
Monthly Salary:
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
Role Overview
We are hiring a Data Manager to lead analytics and performance intelligence across a large-scale SME and merchant ecosystem. This role is responsible for how data is structured interpreted and used to drive decisions across merchant growth operational execution and portfolio performance.The ideal candidate is comfortable working with high-volume transactional data operational activity data and outcome metricsand can translate these into insights that shape strategy execution and accountability.
This role works closely with business product risk and operations teams and is expected to operate close to real decision-making not just reporting.
Key Responsibilities
1. Data Ownership & Governance
- Own the end-to-end data lifecycle across merchant activity transactions operational execution and portfolio outcomes.
- Define and maintain clear consistent metrics used across dashboards reports and performance reviews.
- Ensure data quality accuracy and traceability across multiple data sources and systems.
- Document definitions assumptions and logic behind key metrics to avoid ambiguity.
2. Merchant & Transaction Analytics
- Analyse transaction patterns to understand merchant behaviour income stability growth trajectories and volatility.
- Develop merchant segmentation frameworks using behavioural and performance signals.
- Track merchant onboarding activation retention and inactivity identifying drivers of drop-off and reactivation.
- Surface early indicators of performance shifts using transaction and activity data.
3. Performance & Execution Analytics
- Build performance tracking frameworks for operational and field teams involved in merchant acquisition activation verification and follow-up.
- Monitor productivity conversion rates turnaround times and quality metrics across teams and locations.
- Identify execution bottlenecks and efficiency gaps and provide evidence-based recommendations.
- Support managers with clear actionable performance dashboards.
4. Credit & Portfolio Performance Analytics
- Monitor how merchants progress through approval utilisation and repayment stages.
- Analyse approval funnels utilisation behaviour and portfolio trends across segments and geographies.
- Track performance migration and early stress signals within the portfolio.
- Support evidence-based calibration of thresholds limits and operating rules.
5. Dashboards Reporting & Decision Support
- Design and maintain dashboards used in daily operations weekly performance reviews and leadership meetings.
- Translate complex datasets into concise insights trade-offs and recommendations.
- Provide regular performance summaries that explain what changed why it changed and what to do next.
- Support planning forecasting and performance reviews with reliable data.
6. Cross-Functional Collaboration
- Work closely with Product Engineering Risk Operations Finance and Compliance teams to align data with business needs.
- Support internal governance audits and external reporting requirements where relevant.
- Act as a thought partner to stakeholders helping teams ask better questions of the data.
Required Qualifications
- Bachelors degree in Data Science Statistics Economics Computer Science Engineering or a related field.
- 47 years of experience in data analytics business intelligence or data management roles.
- Strong SQL skills and experience working directly with large real-world datasets.
- Proven experience building dashboards using tools such as Power BI Tableau Looker or similar.
- Strong ability to communicate insights clearly to non-technical stakeholders.
- Experience working with merchant SME payments or lending data.
- Exposure to field-based or distributed operational models.
- Python R or similar tools for advanced analysis or automation.
- Experience in fast-growing or operationally complex environments.
What Success Looks Like
- Business and leadership teams trust and rely on the data to make decisions.
- Performance issues are identified early and addressed proactively.
- Merchant and portfolio behaviour is well understood and measurable.
- Dashboards and reports are actively used not ignored.
- Decisions improve because the underlying system is visible and grounded in data.
Required Experience:
Manager
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
An intuitive digital wallet with account opening, money transfer and bill payments in one. Earn as you spend.
