{"id":94208,"date":"2026-04-13T10:02:16","date_gmt":"2026-04-13T10:02:16","guid":{"rendered":"https:\/\/jobs.dataaxisnode.com\/kenya\/job\/manager-business-performance\/"},"modified":"2026-04-13T10:03:26","modified_gmt":"2026-04-13T10:03:26","slug":"manager-business-performance","status":"publish","type":"job_listing","link":"https:\/\/jobs.dataaxisnode.com\/kenya\/job\/manager-business-performance\/","title":{"rendered":"Manager Business Performance"},"content":{"rendered":"<p>Principle Accountabilities<\/p>\n<p>Analytics &amp; Reporting<\/p>\n<p>\tDesign, develop, and maintain dashboards, scorecards, and performance reports for business units across the group.<br \/>\n\tAutomate recurring reports to improve efficiency and reduce manual processing effort.<br \/>\n\tPresent complex analytical findings in clear, accessible formats for both technical and non-technical stakeholders.<\/p>\n<p>Performance Monitoring<\/p>\n<p>\tTrack and analyse performance across frontline functions, and back-office functions.<br \/>\n\tMonitor branch performance, digital channel efficiency, and product profitability to surface opportunities and risks.<br \/>\n\tSupport the Head of Data and Analytics in maintaining enterprise-wide balanced scorecards.<br \/>\n\tContribute to workforce optimisation and cost efficiency analysis to inform strategic planning.<\/p>\n<p>Advanced Analytics &amp; Predictive Modelling<\/p>\n<p>\tBuild and validate predictive models to forecast customer behaviour, credit risk, and product demand.<br \/>\n\tApply machine learning and statistical techniques to improve loan underwriting, fraud detection, and customer churn prediction.<br \/>\n\tConduct profitability and segmentation analyses to identify high-margin products, services, and customer groups.<br \/>\n\tSupport the ongoing development and refinement of AI\/ML models for credit scoring and anti-money laundering (AML).<\/p>\n<p>Customer Insights &amp; Personalisation<\/p>\n<p>\tAnalyse customer transaction data, spending patterns, and lifestyle trends to generate actionable insights.<br \/>\n\tIdentify high-value customer segments to support targeted marketing campaigns and product strategies.<br \/>\n\tPartner with business and product teams to enhance cross-selling and upselling strategies through data-driven recommendations.<\/p>\n<p>Data Governance &amp; Quality<\/p>\n<p>\tEnsure all data used for analytics and reporting meets governance, accuracy, and completeness standards.<br \/>\n\tImplement and uphold data quality controls, escalating issues to the Head of Data and Analytics for resolution.<br \/>\n\tAdhere to applicable regulatory and compliance standards (e.g., GDPR, CCPA, local banking regulations) in all analytics activities.<\/p>\n<p>Cross-Functional Collaboration &amp; Stakeholder Engagement<\/p>\n<p>\tWork closely with business units frontline functions and enabling functions to identify data needs and deliver tailored analytical solutions.<br \/>\n\tPresent insights and recommendations to senior management in a structured, decision-ready format.<br \/>\n\tEngage with external vendors and data partners as directed by the Head of Data and Analytics.<\/p>\n<p>Team Leadership &amp; Capability Development<\/p>\n<p>\tSupervise and mentor analysts within the team, fostering a culture of accountability, learning, and high performance.<br \/>\n\tAssign, review, and quality-check analytical outputs to ensure accuracy and alignment with business priorities.<br \/>\n\tSupport onboarding and skills development of junior team members.<\/p>\n<p>Principal Outputs for this Role<\/p>\n<p>\tAccurate, timely dashboards and performance reports delivered to business stakeholders on schedule.<br \/>\n\tValidated predictive models supporting lending decisions, fraud detection, customer retention, and risk management.<br \/>\n\tCustomer segmentation and behavioural analyses informing marketing and product strategy.<br \/>\n\tStandardised KPIs and metrics enabling consistent performance tracking across the Group.<br \/>\n\tData quality and governance compliance records maintained to required standards.<\/p>\n<p>Key Competencies and Skills<\/p>\n<p>Technical Competencies<\/p>\n<p>\tProficiency in BI and data visualisation tools such as Power BI or Tableau.<br \/>\n\tStrong command of SQL for data extraction, manipulation, and analysis.<br \/>\n\tProficiency in Python and\/or R for statistical analysis and machine learning.<br \/>\n\tExperience with cloud-based data platforms (AWS, Azure, or Google Cloud).<br \/>\n\tFamiliarity with big data frameworks (Apache Spark, Kafka, or Hadoop) is an advantage.<br \/>\n\tAbility to design self-service analytics solutions and interactive, executive-facing dashboards.<br \/>\n\tKnowledge of KPI tracking methodologies, reporting automation, and visualisation best practices.<\/p>\n<p>General Competencies<\/p>\n<p>\tAnalytical Thinking: Ability to break down complex datasets and derive clear, actionable conclusions.<br \/>\n\tAttention to Detail: High standards for data accuracy, consistency, and reporting integrity.<br \/>\n\tCommunication &amp; Influence: Skilled at presenting complex findings to non-technical audiences in plain, persuasive language.<br \/>\n\tCollaboration: Comfortable engaging across teams and business units to gather requirements and deliver solutions.<br \/>\n\tCommercial Awareness: Strong understanding of banking products, customer behaviour, and business performance drivers.<br \/>\n\tAdaptability: Able to manage multiple priorities and respond effectively to shifting business needs and technologies.<br \/>\n\tIntegrity &amp; Compliance: Committed to data ethics, customer privacy, and adherence to regulatory standards.<\/p>\n<p>Minimum Qualifications, Knowledge and Experience<\/p>\n<p>\tBachelor&#8217;s degree in Data Science, Actuarial, Statistics, Mathematics, Computer Science, Business Analytics, or a related field (required).<\/p>\n<p>Experience.<\/p>\n<p>\t5\u20137 years of progressive experience in data analytics, business intelligence, or a closely related field.<br \/>\n\tDemonstrated experience delivering dashboards, automated reports, and predictive models in a commercial setting.<br \/>\n\tSolid understanding of data governance, data warehousing, and regulatory compliance in the financial sector.<\/p>\n<p>Apply Through:<\/p>\n<p>www.hfgroup.co.ke<\/p>\n","protected":false},"author":2,"featured_media":0,"template":"","meta":{"_promoted":"","_job_location":"","_application":"http:\/\/www.hfgroup.co.ke","_company_name":"","_company_website":"","_company_tagline":"","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":""},"job_listing_region":[692],"job-categories":[749,693,720,719,700],"job-types":[687],"class_list":{"0":"post-94208","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"hentry","5":"job_listing_region-nairobi","7":"job-type-full-time"},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings\/94208","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/users\/2"}],"wp:attachment":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/media?parent=94208"}],"wp:term":[{"taxonomy":"job_listing_region","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job_listing_region?post=94208"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-categories?post=94208"},{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-types?post=94208"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}