Manager Business Performance
2026-04-13T09:00:59+00:00
HF Group
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_8010/logo/hf.png
https://www.hfgroup.co.ke/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Professional Services
Management, Business Operations, Accounting & Finance, Computer & IT
2026-04-26T17:00:00+00:00
8
Background information about the job or company (e.g., role context, company overview)
Housing Finance Company of Kenya was incorporated as the premier mortgage Finance Institution in Kenya licensed under the Banking Act with the CDC and the GoK owning 60% and 40% respectively.
Housing Finance started operations with the main objective of implementing the government’s policy of promoting thrift and home ownership by lending ...
Responsibilities or duties
Analytics & Reporting
- Design, develop, and maintain dashboards, scorecards, and performance reports for business units across the group.
- Automate recurring reports to improve efficiency and reduce manual processing effort.
- Present complex analytical findings in clear, accessible formats for both technical and non-technical stakeholders.
Performance Monitoring
- Track and analyse performance across frontline functions, and back-office functions.
- Monitor branch performance, digital channel efficiency, and product profitability to surface opportunities and risks.
- Support the Head of Data and Analytics in maintaining enterprise-wide balanced scorecards.
- Contribute to workforce optimisation and cost efficiency analysis to inform strategic planning.
Advanced Analytics & Predictive Modelling
- Build and validate predictive models to forecast customer behaviour, credit risk, and product demand.
- Apply machine learning and statistical techniques to improve loan underwriting, fraud detection, and customer churn prediction.
- Conduct profitability and segmentation analyses to identify high-margin products, services, and customer groups.
- Support the ongoing development and refinement of AI/ML models for credit scoring and anti-money laundering (AML).
Customer Insights & Personalisation
- Analyse customer transaction data, spending patterns, and lifestyle trends to generate actionable insights.
- Identify high-value customer segments to support targeted marketing campaigns and product strategies.
- Partner with business and product teams to enhance cross-selling and upselling strategies through data-driven recommendations.
Data Governance & Quality
- Ensure all data used for analytics and reporting meets governance, accuracy, and completeness standards.
- Implement and uphold data quality controls, escalating issues to the Head of Data and Analytics for resolution.
- Adhere to applicable regulatory and compliance standards (e.g., GDPR, CCPA, local banking regulations) in all analytics activities.
Cross-Functional Collaboration & Stakeholder Engagement
- Work closely with business units frontline functions and enabling functions to identify data needs and deliver tailored analytical solutions.
- Present insights and recommendations to senior management in a structured, decision-ready format.
- Engage with external vendors and data partners as directed by the Head of Data and Analytics.
Team Leadership & Capability Development
- Supervise and mentor analysts within the team, fostering a culture of accountability, learning, and high performance.
- Assign, review, and quality-check analytical outputs to ensure accuracy and alignment with business priorities.
- Support onboarding and skills development of junior team members.
Principal Outputs for this Role
- Accurate, timely dashboards and performance reports delivered to business stakeholders on schedule.
- Validated predictive models supporting lending decisions, fraud detection, customer retention, and risk management.
- Customer segmentation and behavioural analyses informing marketing and product strategy.
- Standardised KPIs and metrics enabling consistent performance tracking across the Group.
- Data quality and governance compliance records maintained to required standards.
Qualifications or requirements (e.g., education, skills)
Technical Competencies
- Proficiency in BI and data visualisation tools such as Power BI or Tableau.
- Strong command of SQL for data extraction, manipulation, and analysis.
- Proficiency in Python and/or R for statistical analysis and machine learning.
- Experience with cloud-based data platforms (AWS, Azure, or Google Cloud).
- Familiarity with big data frameworks (Apache Spark, Kafka, or Hadoop) is an advantage.
- Ability to design self-service analytics solutions and interactive, executive-facing dashboards.
- Knowledge of KPI tracking methodologies, reporting automation, and visualisation best practices.
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.
Experience needed
Minimum Qualifications, Knowledge and Experience
- Bachelor's degree in Data Science, Actuarial, Statistics, Mathematics, Computer Science, Business Analytics, or a related field (required).
Experience.
- 5–7 years of progressive experience in data analytics, business intelligence, or a closely related field.
- Demonstrated experience delivering dashboards, automated reports, and predictive models in a commercial setting.
- Solid understanding of data governance, data warehousing, and regulatory compliance in the financial sector.
* Design, develop, and maintain dashboards, scorecards, and performance reports for business units across the group. * Automate recurring reports to improve efficiency and reduce manual processing effort. * Present complex analytical findings in clear, accessible formats for both technical and non-technical stakeholders. * Track and analyse performance across frontline functions, and back-office functions. * Monitor branch performance, digital channel efficiency, and product profitability to surface opportunities and risks. * Support the Head of Data and Analytics in maintaining enterprise-wide balanced scorecards. * Contribute to workforce optimisation and cost efficiency analysis to inform strategic planning. * Build and validate predictive models to forecast customer behaviour, credit risk, and product demand. * Apply machine learning and statistical techniques to improve loan underwriting, fraud detection, and customer churn prediction. * Conduct profitability and segmentation analyses to identify high-margin products, services, and customer groups. * Support the ongoing development and refinement of AI/ML models for credit scoring and anti-money laundering (AML). * Analyse customer transaction data, spending patterns, and lifestyle trends to generate actionable insights. * Identify high-value customer segments to support targeted marketing campaigns and product strategies. * Partner with business and product teams to enhance cross-selling and upselling strategies through data-driven recommendations. * Ensure all data used for analytics and reporting meets governance, accuracy, and completeness standards. * Implement and uphold data quality controls, escalating issues to the Head of Data and Analytics for resolution. * Adhere to applicable regulatory and compliance standards (e.g., GDPR, CCPA, local banking regulations) in all analytics activities. * Work closely with business units frontline functions and enabling functions to identify data needs and deliver tailored analytical solutions. * Present insights and recommendations to senior management in a structured, decision-ready format. * Engage with external vendors and data partners as directed by the Head of Data and Analytics. * Supervise and mentor analysts within the team, fostering a culture of accountability, learning, and high performance. * Assign, review, and quality-check analytical outputs to ensure accuracy and alignment with business priorities. * Support onboarding and skills development of junior team members.
* Proficiency in BI and data visualisation tools such as Power BI or Tableau. * Strong command of SQL for data extraction, manipulation, and analysis. * Proficiency in Python and/or R for statistical analysis and machine learning. * Experience with cloud-based data platforms (AWS, Azure, or Google Cloud). * Familiarity with big data frameworks (Apache Spark, Kafka, or Hadoop) is an advantage. * Ability to design self-service analytics solutions and interactive, executive-facing dashboards. * Knowledge of KPI tracking methodologies, reporting automation, and visualisation best practices. * Analytical Thinking * Attention to Detail * Communication & Influence * Collaboration * Commercial Awareness * Adaptability * Integrity & Compliance
* Bachelor's degree in Data Science, Actuarial, Statistics, Mathematics, Computer Science, Business Analytics, or a related field (required).
JOB-69dcb0cbc28be
Vacancy title:
Manager Business Performance
[Type: FULL_TIME, Industry: Professional Services, Category: Management, Business Operations, Accounting & Finance, Computer & IT]
Jobs at:
HF Group
Deadline of this Job:
Sunday, April 26 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Monday, April 13 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Background information about the job or company (e.g., role context, company overview)
Housing Finance Company of Kenya was incorporated as the premier mortgage Finance Institution in Kenya licensed under the Banking Act with the CDC and the GoK owning 60% and 40% respectively.
Housing Finance started operations with the main objective of implementing the government’s policy of promoting thrift and home ownership by lending ...
Responsibilities or duties
Analytics & Reporting
- Design, develop, and maintain dashboards, scorecards, and performance reports for business units across the group.
- Automate recurring reports to improve efficiency and reduce manual processing effort.
- Present complex analytical findings in clear, accessible formats for both technical and non-technical stakeholders.
Performance Monitoring
- Track and analyse performance across frontline functions, and back-office functions.
- Monitor branch performance, digital channel efficiency, and product profitability to surface opportunities and risks.
- Support the Head of Data and Analytics in maintaining enterprise-wide balanced scorecards.
- Contribute to workforce optimisation and cost efficiency analysis to inform strategic planning.
Advanced Analytics & Predictive Modelling
- Build and validate predictive models to forecast customer behaviour, credit risk, and product demand.
- Apply machine learning and statistical techniques to improve loan underwriting, fraud detection, and customer churn prediction.
- Conduct profitability and segmentation analyses to identify high-margin products, services, and customer groups.
- Support the ongoing development and refinement of AI/ML models for credit scoring and anti-money laundering (AML).
Customer Insights & Personalisation
- Analyse customer transaction data, spending patterns, and lifestyle trends to generate actionable insights.
- Identify high-value customer segments to support targeted marketing campaigns and product strategies.
- Partner with business and product teams to enhance cross-selling and upselling strategies through data-driven recommendations.
Data Governance & Quality
- Ensure all data used for analytics and reporting meets governance, accuracy, and completeness standards.
- Implement and uphold data quality controls, escalating issues to the Head of Data and Analytics for resolution.
- Adhere to applicable regulatory and compliance standards (e.g., GDPR, CCPA, local banking regulations) in all analytics activities.
Cross-Functional Collaboration & Stakeholder Engagement
- Work closely with business units frontline functions and enabling functions to identify data needs and deliver tailored analytical solutions.
- Present insights and recommendations to senior management in a structured, decision-ready format.
- Engage with external vendors and data partners as directed by the Head of Data and Analytics.
Team Leadership & Capability Development
- Supervise and mentor analysts within the team, fostering a culture of accountability, learning, and high performance.
- Assign, review, and quality-check analytical outputs to ensure accuracy and alignment with business priorities.
- Support onboarding and skills development of junior team members.
Principal Outputs for this Role
- Accurate, timely dashboards and performance reports delivered to business stakeholders on schedule.
- Validated predictive models supporting lending decisions, fraud detection, customer retention, and risk management.
- Customer segmentation and behavioural analyses informing marketing and product strategy.
- Standardised KPIs and metrics enabling consistent performance tracking across the Group.
- Data quality and governance compliance records maintained to required standards.
Qualifications or requirements (e.g., education, skills)
Technical Competencies
- Proficiency in BI and data visualisation tools such as Power BI or Tableau.
- Strong command of SQL for data extraction, manipulation, and analysis.
- Proficiency in Python and/or R for statistical analysis and machine learning.
- Experience with cloud-based data platforms (AWS, Azure, or Google Cloud).
- Familiarity with big data frameworks (Apache Spark, Kafka, or Hadoop) is an advantage.
- Ability to design self-service analytics solutions and interactive, executive-facing dashboards.
- Knowledge of KPI tracking methodologies, reporting automation, and visualisation best practices.
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.
Experience needed
Minimum Qualifications, Knowledge and Experience
- Bachelor's degree in Data Science, Actuarial, Statistics, Mathematics, Computer Science, Business Analytics, or a related field (required).
Experience.
- 5–7 years of progressive experience in data analytics, business intelligence, or a closely related field.
- Demonstrated experience delivering dashboards, automated reports, and predictive models in a commercial setting.
- Solid understanding of data governance, data warehousing, and regulatory compliance in the financial sector.
Work Hours: 8
Experience in Months: 12
Level of Education: bachelor degree
Job application procedure
Posted: Apr 13, 2026
Deadline: Apr 26, 2026
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Read more about this company
Manager Business Performance
QualificationBA/BSc/HND
Experience5 - 7 years
LocationNairobi
Job FieldHuman Resources / HR
Application Link:Click Here to Apply Now
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