Business Analyst- Debt Collection - Nairobi at Mogo Finance in Nairobi, Kenya

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    Business Analyst- Debt Collection - Nairobi

    Mogo FinanceNairobi, Kenya

    Posted

    1 week ago

    Apply by

    27 Aug

    Full Time
    On Site
    Senior
    Banking, Insurance & Financial Services
    Data, Analytics & AI

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    Job Description

    We are looking for a Senior Business Analyst to drive data-informed decision-making, process optimization, and system enhancements within our Debt Collection operations. This role sits at the intersection of business analysis, product ownership, and operational improvement, with a strong focus on translating business needs into practical, data-driven solutions. The successful candidate will work closely with stakeholders across Debt Collection to identify opportunities for automation, improve workflows, and deliver scalable solutions.

    Key Responsibilities

    • Engage business stakeholders to gather, document, and validate business requirements.
    • Translate operational needs into clear user stories, use cases, and process flows.
    • Facilitate discussions to identify pain points and opportunities for improvement.
    • Analyze and redesign business processes to improve efficiency, scalability, and performance.
    • Identify opportunities for automation and digitization of manual workflows.
    • Develop SOPs, process documentation, and best practice guidelines.
    • Support continuous improvement initiatives within Debt Collection operations call center, field teams, case management.
    • Work closely with HOD and Managers to define and refine product requirements.
    • Support backlog prioritization and ensure alignment with business needs.
    • Participate in Agile ceremonies sprint planning, reviews, testing.
    • Coordinate UAT, gather user feedback, and support rollout of new features and tools.
    • Act as a bridge between business and technology teams to ensure effective solution delivery.
    • Use data to identify trends, diagnose business issues, and recommend improvements.
    • Design and maintain dashboards and reports to support operational performance.
    • Respond to ad-hoc data requests and provide actionable insights.
    • Monitor key operational KPIs and track the impact of implemented solutions.
    • Identify and escalate data quality issues to relevant teams.
    • Build and maintain low-code/no-code solutions e.g., PowerApps, SharePoint tools, dashboards to support business needs.
    • Standardize data collection and reporting processes.
    • Collaborate with developers on more complex solutions by providing clear requirements and validating outputs.
    • Develop user documentation, guides, and training materials for new systems and processes.
    • Conduct training sessions for business users to improve data literacy and tool adoption.
    • Support change management and ensure successful adoption of new solutions.
    • Proactively identify opportunities to improve existing systems, reports, and workflows.
    • Conduct research and recommend innovative solutions to enhance operations.
    • Challenge existing processes and contribute ideas to improve efficiency and performance.

    Required Qualifications

    • Bachelor's degree in Business, IT, Data Analytics, Computer Science, or a related field.
    • 4+ years of experience in fintech, lending, debt collection, or financial services.
    • Experience working on automation, workflow tools, or operational systems.
    • Knowledge of BI tools e.g., Power BI, Tableau and low-code platforms.
    • Experience with tools such as JIRA, Azure DevOps, or similar.

    Job Details

    Job Function

    Data, Analytics & AI

    Minimum Experience

    4 years

    Education Level

    Bachelor’s Degree

    Area of Study

    Business

    Field of Study

    Business, IT, Data Analytics, Computer Science

    Additional Information

    How to Apply: Send your application to the email provided in the job posting or visit the application link on the original job page.

    Master the Debt Collection Data Landscape

    This role lives at the crossroads of business analysis, product ownership, and operational improvement. Hiring managers will probe how you've used data to reshape collection workflows, cut manual effort, and lift recovery rates.

    1. Prove your fintech or debt collection context: Highlight any experience in lending, fintech, or collections. Show how you've navigated regulatory constraints, customer payment behaviors, and operational pressures. If you lack direct experience, draw parallels from adjacent financial services roles.

    2. Showcase your BI and low-code toolkit: Be ready to discuss Power BI, Tableau, PowerApps, or SharePoint projects. Bring a portfolio or case study showing a dashboard you built that drove a decision. Mention how you've used JIRA or Azure DevOps to manage requirements and sprints.

    3. Demonstrate process redesign wins: Walk through a specific process you automated or streamlined. Quantify the impact: hours saved, error reduction, or turnaround time. Show how you documented SOPs and trained users to ensure adoption.

    4. Prepare for Agile and product ownership questions: Expect questions on backlog grooming, writing user stories, and running UAT. Have examples of how you prioritized features with business stakeholders and validated outcomes with developers.

    5. Bring a data-driven problem-solving story: Describe a time you used data to diagnose a business issue and recommend a fix. Show your SQL or Excel skills. Explain how you monitored KPIs and communicated insights to non-technical audiences.

    6. Show stakeholder management finesse: This role bridges business and tech. Give an example of managing conflicting priorities between departments. Emphasize your communication style and how you build consensus.

    7. Highlight change management and training: New tools only work if people use them. Talk about a time you trained users and drove adoption. Mention any user documentation or guides you created.

    8. Align with Mogo's mission: Research Mogo Finance's lending products and digital transformation. Tailor your answers to show how your skills can improve collection efficiency and customer experience. Ask thoughtful questions about their current tech stack and pain points.

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    Tags

    Business Analysis
    Debt Collection
    Data Analytics
    Power BI
    Agile