# Manager Business Performance & Analytics Job HFCB, Nairobi, Kenya Canonical URL: https://primejobalerts.com/jobs/manager-business-performance-analytics-job-hfcb-nairobi-kenya Company: HFCB, Nairobi, Kenya Category: Accounting Location: Kenya Work type: Full-time Work arrangement: On-site Published: 2026-08-03 Expires: 2026-09-17 ## Job Description About the Role The Manager, Business Performance & Analytics is responsible for enabling the Company’s analytics, business intelligence, and credit risk functions through the design, development, and operationalization of enterprise-grade data products, analytics platforms, and data infrastructure.The role bridges data engineering, analytics enablement, and software engineering — ensuring that credit scoring systems, performance dashboards, and analytical platforms are delivered through secure, scalable, and well-governed data solutions. This role is therefore critical in ensuring the bank maintains a robust data backbone, fosters cross-functional collaboration, and continuously evolves its analytics capabilities to meet regulatory, commercial, and customer demands. ### Key Responsibilities Data Products & Back-End Development - Lead the design and development of data services that power analytics platforms, credit scoring engines, and business decision systems. - Build and maintain RESTful APIs to serve curated data, analytical outputs, and scoring results to internal and external consumers. - Oversee integration of analytics back-end services with data warehouses, data lakes, and third-party systems. - Enforce high standards of code quality, testing, documentation, and deployment automation across the team. - Ensure best practices in application security, authentication, authorisation, logging, and monitoring are consistently applied. Data & Analytics Enablement - Partner with data engineers and analysts to productionise data pipelines, feature stores, and analytics workloads. - Provide reliable back-end infrastructure to enable analytics and credit risk teams across key functions: Credit scoring and limit management - Portfolio analytics and performance reporting - Regulatory and compliance reporting - Ensure all data exposed through APIs and platforms aligns with agreed data definitions, governance standards, and quality controls. Team Leadership & Capability Development - Lead, mentor, and manage back-end developers, data engineers, and analytics engineers, setting clear objectives and supporting career growth. - Foster a culture of ownership, engineering excellence, continuous improvement, and collaborative delivery. - Conduct regular performance reviews and support skill progression plans across the team. - Allocate resources across projects to ensure optimal workload balance and timely, high-quality delivery. KPI Tracking & Performance Management - Define, monitor, and report on team and platform KPIs, including: System availability and response times - Data pipeline reliability and data quality metrics - Delivery timelines and backlog health - Adoption and usage of analytics services - Establish dashboards and regular performance reviews to drive transparency, accountability, and continuous improvement. - Use KPI insights to inform process improvements, resource prioritisation, and investment decisions. Stakeholder & Cross-Functional Collaboration - Work closely with Risk, Credit, Finance, Retail, Commercial, Technology, and Operations teams to translate business needs into technical solutions. - Communicate complex technical concepts clearly and concisely to non-technical stakeholders and senior leadership. - Support vendor engagement and ensure external solutions align with internal architecture and governance frameworks. Governance, Risk & Compliance - Ensure all back-end and data solutions comply with data privacy, security, and applicable regulatory requirements. - Maintain auditability and traceability for analytics outputs, with particular rigour for credit scoring and decisioning systems. - Contribute to enterprise data governance, architecture standards, and technology best practices. Principal outputs for this role - Productionised data products and feature stores that enable reliable, real-time analytics workloads. - Performance dashboards and KPI frameworks tracking system health, pipeline reliability, and team delivery. - Well-documented, tested, and deployment-ready code meeting engineering excellence standards. - Audit-ready analytics outputs with full traceability for credit scoring and regulatory reporting. - A high-performing, well-developed analytics engineering team with clear objectives and growth pathways. Qualifications - Bachelor’s degree in Data Science, Actuarial Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field (required). - Master’s degree or postgraduate qualification in a relevant discipline is an added advantage. - 5–8 years of progressive experience in data analytics, data engineering, or back-end software engineering. - Experience in overseeing cross-functional teams. - Proven track record of building and operationalising data systems and back-end platforms in enterprise or regulated environments. - Demonstrated experience in delivering dashboards, automated pipelines, and predictive or scoring models in a commercial setting. - Experience supporting analytics platforms, credit scoring, or decisioning systems within financial services is a strong advantage. - Solid understanding of data governance, data warehousing, and regulatory compliance in the banking or financial sector. Competencies Technical Competencies - Knowledge of KPI tracking methodologies, reporting automation, and visualisation best practices. - Data Platforms: Strong command of SQL; experience with data warehouses, data lakes, and analytics data modelling. - BI & Visualisation: Proficiency in Power BI, Tableau, or equivalent tools for executive-facing dashboards and self-service analytics. - Cloud Platforms: Hands-on experience with cloud-based environments (AWS, Azure, or Google Cloud). - Big Data & Pipelines: Familiarity with Apache Spark, Kafka, or Hadoop for large-scale data processing. - DevOps & Quality: Experience with CI/CD pipelines, version control (Git), testing frameworks, and monitoring tools. - Machine Learning: Working knowledge of ML model deployment, feature engineering, and model monitoring in production. - Back-End Development: Proficiency in Python (Django/FastAPI), RESTful API design, authentication and authorisation patterns. General Competencies - Analytical Thinking: Ability to break down complex datasets and derive clear, actionable conclusions. - Attention to Detail: High standards for data accuracy, consistency, and reporting integrity. - Communication & Influence: Skilled at presenting complex findings to non-technical audiences in plain, persuasive language. - Collaboration: Comfortable engaging across teams and business units to gather requirements and deliver solutions. - Commercial Awareness: Strong understanding of banking products, customer behaviour, and business performance drivers. - Adaptability: Able to manage multiple priorities and respond effectively to shifting business needs and technologies. - Integrity & Compliance: Committed to data ethics, customer privacy, and adherence to regulatory standards. ### How to Apply Click here to apply ## Apply Use the canonical Prime Job Alerts page for full application instructions and source verification.