Manager Business Performance
Full time @HF Group posted 12 minutes ago in Business and Finance , in Information Technology Shortlist Email JobJob Detail
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Career Level Manager
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Experience 5 Years
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Qualifications Degree Bachelor
Job Description
Principle Accountabilities
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.
Key Competencies and 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.
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.
