Associate Director, Data Analytics

June 8

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Interpath Advisory

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When you’re faced with critical business decisions, our expertise and creative solutions will help you find the right path$1. .$1

501 - 1000

Description

• 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)

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)