Interpath is looking for an experienced candidate to help develop Interpath’s Data & Technology consulting group, of which the Data Analytics team is part.  Our Data Analytics team is a busy group serving analytics requirements across multiple service lines at Interpath. 

We will consider Data Analytics specialists with experience in various areas, in particular experience of Value Creation, Transaction Services, Forensic or Compliance would be relevant.

The successful applicant will bring fresh data solutions and ideas for the variety of client projects, covering the way the data is collected, stored, applied and presented.

Key Accountabilities:

• 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.
• 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)