Associate Director, Data Analytics

to join a fast-growing unit and to play a key role in its development and growth. Key Accountabilities: Deals Analytics support Building new data capabilities covering Customer profiling, segmentation & profitability; demand forecasting & inventory management; supply chain optimisation; (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. Commercially strong and particularly in story-telling skills to key stakeholders and clients. Numerate & analytical with knowledge of data management. Implementation experience with BI tools Proficient in BI tools like PowerBI, Qlik, Tableau. Proficient in Microsoft SQL. Proficient in Python / R.

• Strong knowledge of statistical methodologies and data analysis techniques (eg clustering). Passionate about
data analytics. Technically 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 of 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 (eg Google or Adobe analytics). Benefits Annual leave 26 days (in addition to Public/Bank Holidays) Private medical insurance Life Assurance (4x salary) Group Income Protection Holiday buy / sell (up to 10 days via salary sacrifice) Workplace pension scheme Discretionary bonus scheme Discounted gym membership Dental Insurance (optional, BUPA) Critical Illness Insurance (optional)