Solutions & Implementation Analyst – Data Analytics Job HF Group

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Principle Accountabilities

Core Development

• Frontend Development: Design and develop responsive, high-performance user interfaces using TypeScript and modern frontend frameworks.
• Backend Integration: Collaborate with Django backend systems to ensure seamless API integration and data flow.
• Performance Optimization: Implement efficient frontend solutions that handle complex financial data visualization and real-time analytics.

Data Analytics & Visualization

• Interactive Dashboards: Build and maintain executive-level dashboards .
• Embedded Analytics: Support in democratization of Data access across the group.
• Predictive Modelling Interface: Create user-friendly interfaces for advanced data analytics and predictive modelling tools.
• Customer Insights: Implement personalization features and customer insight visualization components.

Automation & Process Improvement

• Python Automation: Develop and maintain Python-based automation scripts for ETL, ELT data processing and report generation.
• Scorecard Automation: Lead the complete automation of Balanced performance Team Scorecards.
• Back-Office Integration: Design and implement automation solutions
• Support Routine Data Migration into the warehouse: Support the migration and automation.

Digitized and Scheduled Report Delivery.

• Implementation of Self-Updating Dashboards and Reports.
• Automation of Business Intelligence Reporting Workflows.

Strategic Initiatives

• Data Strategy Implementation: Support the execution and adaptation of bank-wide data strategy initiatives.
• Design and Deployment of Mission-Critical Platforms: Cost origination platform or other key strategic platforms.
• Data Warehouse Development and Integration: Collaborate on data warehouse development of data initiatives : Data consolidation, robust data validation, cleansing, and transformation, develop scalable foundation for data models(AI, ML, business Intelligence applications), Adoption initiatives.
• Business Intelligence Reporting: Development of executive-level business insight reports.

Key Competencies and Skills

Technical Competencies

• Financial dashboards, KPIs, and performance metrics development (translating business requirements into technical solutions)
• Knowledge of data architecture, BI solutions, and cost/profitability analysis.
• Application of automation and data visualization best practices:
• Regulatory reporting, compliance, and audit, financial operations, risk management and compliance awareness.
• Design Thinking: Ability to apply design thinking principles to problem-solving and user experience design.

General Competencies

• Strong problem-solving and analytical thinking.
• Effective collaboration and stakeholder engagement.
• Attention to detail with high-quality solution delivery.
• Proven project management and strong organizational skills in fast-paced, dynamic environment.
• Demonstrated ability to lead technical teams and mentor junior developers.

Minimum Qualifications, Knowledge and Experience

Academic & Professional Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• Certification in relevant data tools or project management methodologies (e.g., Data Analytics, Tableau, Power BI, Agile, Python proficiency, Collaborative development workflows, Testing frameworks) is an advantage.

Experience

• Experience with automated testing frameworks and CI/CD pipelines.
• Financial Sector Experience: Exposure to banking, fintech, or financial services preferred.

How to Apply

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