Work closely with Audit, Advisory, Tax Advisory, Legal Advisory and Business Support teams to understand their processes and challenges through interviews, workshops and process assessments; Maintain active collaboration with colleagues across the KPMG Nordic and global network, keeping up to date with new technologies, solutions, and initiatives, and assessing their suitability for implementation in KPMG Latvia; Identify repetitive, manual and time-consuming activities that may benefit from AI or automation, document current and future-state processes, build business cases and prioritise improvement opportunities; Design and implement practical solutions using approved platforms and tools, including lightweight automations, knowledge agents and workflow improvements; Support the implementation of Copilot-based and low-code solutions, collaborating with IT and business stakeholders to ensure solutions are secure, scalable and aligned with governance requirements; Support departmental AI champions and business teams, help employees understand how AI can support their daily work, and facilitate hands-on use-case workshops focused on real business problems; Contribute to the continuous improvement of the organisations AI knowledge resources; Maintain a portfolio of AI initiatives and use cases and recommend improvements and scaling opportunities based on measurable results; Partner with Marketing and Communications to promote successful use cases, share success stories and create engaging internal communications around AI-enabled improvements; Contribute to building a culture of continuous improvement and responsible AI adoption. Bachelors degree in Computer Science, Information Systems, Software Engineering, Data Science or a related technical discipline; At least 2 years of experience as a Business Analyst, Systems Analyst, Process Analyst, Digital Transformation Analyst or in a similar role; Experience of gathering system requirements and working with business stakeholders; Experience translating business challenges into practical solutions; Hands-on experience with Microsoft Power Platform, Microsoft 365 technologies, AI platforms or comparable low-code and automation platforms; Ability to independently take a business problem through discovery, design, implementation, deployment and adoption.