Senior Analyst (Digitalization)

In this role, you will help transform manual and fragmented processes into efficient, data-driven and scalable digital solutions. You will bridge business needs and technology execution, using AI, data and automation to improve decision-making and operational performance. Working closely with business stakeholders, DIT teams and vendors, you will support end-to-end digitalization projects that deliver measurable and sustainable business value.

Key Responsibilities

Digitalization, AI, Data & Process Improvements

• Support the discovery, design and delivery of digitalization initiatives for internal operations, process automation and system enhancements.
• Engage business stakeholders to identify pain points and translate them into practical, scalable technical solutions.
• Document and redesign critical business processes to improve efficiency, scalability and maintainability.
• Assist in building data pipelines, internal tools and automation workflows, with pragmatic build-versus-buy recommendations.
• Support AI-powered initiatives, including process automation, predictive analytics and LLM-based tools where relevant.
• Contribute to scalable technology foundations through sound data modelling, system integration and engineering practices.

Project & Stakeholder Management

• Collaborate with business users, DIT teams and vendors to deliver digitalization projects from requirements gathering through deployment and iteration.
• Assist in evaluating and managing third-party vendors and platforms to ensure fit-for-purpose outcomes.
• Maintain clear documentation, solution governance and engineering standards to reduce key-person dependency and support long-term maintainability.

Continuous Improvement & Innovation

• Stay current with emerging technologies and propose innovative solutions that improve the way work is performed.
• Promote digital awareness and a culture of continuous process improvement across business teams.

Requirements:

Qualifications & Experience

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Engineering or a related technical discipline.
• At least 4 years of relevant experience in software engineering, data engineering, IT applications or analytics-related projects.
• Experience contributing to digitalization or transformation projects from inception to production.
• Experience with requirements gathering, identifying business needs and recommending solutions that deliver stakeholder value.
• Experience applying AI to business problems and exposure to operational or back-office processes are advantageous.
• Relevant certifications such as Azure Data Engineer, Databricks Certified Associate, PMP, PRINCE2, CBAP or ITIL are advantageous.

Technical Skills

• Proficiency in at least one modern programming language, such as Python, Java or TypeScript.
• Strong SQL skills, including manipulation and transformation of datasets and an understanding of SQL tuning.
• Knowledge of ETL/ELT pipelines, data modelling and integration across systems.
• Hands-on experience with Power BI or other data visualisation tools.
• Experience with APIs, automation and data platforms, preferably Databricks, is advantageous.
• Familiarity with cloud platforms, preferably Azure, modern DevOps practices, SaaS tools and enterprise systems is advantageous.

Skills & Attributes

• Strong analytical and problem-solving skills, with an ability to identify root causes rather than address symptoms only.
• Creative and resourceful, with the ability to propose practical solutions within resource constraints.
• Effective communication skills and the ability to translate technical concepts for non-technical stakeholders.
• Self-directed, detail-oriented and comfortable managing ambiguity in a dynamic environment.
• Strong sense of ownership and a genuine passion for using technology to make work smarter and more efficient.