Associate Director, Data Analytics - Value Creation & Deals

Associate Director, Data Analytics - Value Creation demand forecasting supply chain optimisation; and (Procurement) spend analytics to compliment the mature working capital capability in place today. Create a Data Insight playbook covering the topics above. Accelerate delivery timelines through better solutions. Act as central point of contact for the team and create great working relationships. Show the "art of the possible" and be integral in the change management process. Help the team to extract information and provide insightful reports using different techniques. Create meaningful dashboards to help inform/set strategy and predict trends for clients. Work with the data team to determine the best data infrastructure to maximise analysis. Design a blue‑print architecture of the tools and techniques to use for value creation and client‑facing projects. Lead the charge in building new data capabilities within the team. Accelerate delivery of key data projects through new ways of thinking. Requirements At least 4 years of experience in the Data Analytics space (preferably in a consulting context). University degree 2.1 or higher (or equivalent) in Computer Science, Mathematics, Statistics or equivalent. End‑to‑end knowledge of data warehouse and reporting processes. Ability to identify and implement process improvements in a controlled manner. Strong consulting skills, having applied business intelligence and data analytics techniques in that context. Hands‑on, technically strong on data engineering, reporting and analysis. Commercially savvy and articulate in data storytelling to clients, becoming a trusted adviser to key stakeholders. Numerate self‑sufficient with a desire and ability to research and pick up new tools and techniques quickly. Ability to visualise data effectively and communicate findings and recommendations clearly. Proven experience with cloud technologies (AWS, MS Azure, GCP). Advantageous Competencies (but not essential) Exposure to AI/ML. Exposure to the open‑source stack. Experience in price modelling techniques. Experience in managing a small data team and mentoring. Some exposure to behavioural data (e.g. Google or Adobe analytics). Benefits At Interpath, our people lie at the heart of our business. We provide a competitive and comprehensive reward package, including compelling salaries and a range of core and optional benefits. Detailed information can be found on our company benefits page. Unsolicited Resumes from Third‑Party Recruiters Interpath does not accept unsolicited resumes from third‑party recruiters. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Interpath will have the right to hire that applicant at its discretion without any fee owed to the submitting agency, person or entity.