Executive, Associate Technology Specialist, Data & AI

Overview

By aligning closely with business objectives, the role contributes to the organisation’s data-driven decision-making capabilities. It supports the Data & AI team’s mission to deliver timely, accurate, and meaningful analyses through statistical techniques, ad-hoc reporting, and scalable solutions that enhance operational efficiency and strategic planning.

Job Description

• Data extraction, transformation, and loading (ETL) from structured and unstructured data sources
• Data analysis and interpretation aligned with business objectives
• Data visualisation using tools such as Qlik Sense, Power BI, or equivalent
• SQL and relational database management
• Business intelligence reporting and dashboard creation
• Understanding of data governance, privacy, and compliance standards
• Collaboration with cross-functional teams to translate business needs into technical solutions
• Defines and manages the scope, data requirements, and prioritisation for analytics initiatives.
• Helps determine the most suitable approach for gathering and documenting data needs.
• Engages stakeholders to gather input, asks thoughtful questions to clarify needs, and supports effective prioritisation of requirements.
• Works closely with business teams to understand goals, gather relevant data requirements, and design solutions that align with organisational objectives.
• Establishes and maintains requirement baselines or analytics backlogs, secures stakeholder agreement, and ensures clear traceability to business goals and data sources.
• Translates business questions into measurable analytical problems and defines success criteria for solution development.
• Collaborates with data engineers and technical teams to ensure the availability, quality, and relevance of data for analysis.
• Applies standard design approaches and established patterns to develop components for data analytics systems and workflows.
• Identifies and resolves minor design issues related to data pipelines, reporting structures, or analytical models.
• Evaluates alternative design options for data processing and visualisation, and seeks guidance when deviating from established practices.
• Develops and maintains system documentation, including data flow diagrams, configuration guides, process documentation, and user manuals.
• Supports the design of scalable and maintainable data solutions that align with business requirements and technical standards.
• Collaborates with data engineers and solution architects to ensure integration and compatibility across systems.
• Contributes to the planning and coordination of data analytics development activities, ensuring alignment with project timelines and business priorities.
• Applies appropriate development methods, tools, and techniques for data analysis, reporting, and visualisation in line with established standards.
• Engages with stakeholders to ensure analytics deliverables meet business requirements and quality expectations. Manages risks and issues related to development activities, escalating when necessary.
• Coordinates with technical teams to configure, customise, and integrate data platforms and tools to meet business needs.
• Supports continuous improvement of analytics development processes, including automation, documentation, and standardisation practices.
• Leads functional testing of analytics outputs across development stages, ensuring alignment with business requirements and focusing on risk-based prioritisation.
• Designs, verifies, documents, and refines configurations for data analytics systems and tools to support deployment and operational use.
• Applies agreed standards, tools, and best practices to ensure well-structured and reliable system configurations.
• Collaborates with team members and stakeholders to review configuration work, ensuring alignment with business and technical requirements.
• Ensures system configurations support business processes, comply with statutory and regulatory requirements, and enable accurate data analysis and reporting.
• Maintains configuration documentation, including setup guides, change logs, and configuration baselines for traceability and audit purposes.
• Supports troubleshooting and optimisation of system configurations to improve performance and usability.
• User Acceptance Testing
• Develops, automates, and executes comprehensive test plans and test cases to validate data analytics solutions against business requirements.
• Follows agreed standards and techniques to design test scenarios based on predefined acceptance criteria and expected outcomes.
• Analyses and reports on test activities, results, issues, and risks, ensuring transparency and traceability throughout the testing process.
• Collaborates with business users, vendors, and external partners to resolve technical issues, validate data accuracy, and implement best practices for testing and deployment.
• Supports iterative testing cycles, including regression and performance testing, to ensure solution reliability and user satisfaction.
• Ensures that final deliverables meet functional expectations and are ready for production deployment.
• Supports the implementation of system and software lifecycle practices by applying established methods and procedures across data analytics platforms.
• Provides ongoing support for analytics systems, troubleshooting issues and implementing solutions to ensure system stability, performance, and data integrity.
• Assists in automation and continuous integration efforts under guidance, contributing to efficient deployment and maintenance of analytics solutions.
• Monitors and reports on the effectiveness of lifecycle management activities, identifying areas for improvement and optimisation.
• Contributes to the documentation and upkeep of lifecycle tools and practices, including configuration guides, process flows, and user manuals.
• Collaborates with vendors and external partners to resolve technical issues and adopt best practices for system maintenance and enhancement.
• Supports recurring operational activities such as monthly, quarterly, and year-end reporting or financial closing processes.
• Actively participates in system changes, enhancements, and analytics-related projects, ensuring alignment with business needs.
• Communicates system updates, changes, and best practices to stakeholders across the organisation to ensure transparency and adoption.
• Engages with key stakeholders—including service providers like DXC and platform vendors—to ensure effective stakeholder management and service delivery.
• Community & Knowledge Base
• Actively participates in internal and external data and analytics communities to share insights, stay updated on industry trends, and promote knowledge exchange.
• Contributes to the internal knowledge base by documenting best practices, lessons learned, and reusable assets, and maintains the internal knowledge portal for easy access and reference.
• Fosters a collaborative and positive work environment that encourages innovation, continuous learning, and improvement in analytics practices.
• Supports peer learning through knowledge-sharing sessions, mentoring, and cross-team collaboration.
• Promotes the adoption of standardised methodologies and tools across the analytics community within the organisation.
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Education / Professional Qualification

Technical

Interpersonal

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