Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning deals, advisory and restructuring capabilities.
We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and critical decisions need to be made. Interpath is agile, independent, and conflict-free, and our passion for doing what’s right, every time, sets us apart.
Our diverse teams provide specialist technical knowledge combined with deep sector experience across our service line specialisms. Since our foundation in 2021, Interpath has grown rapidly, and we now have a presence across the UK, Ireland, France, Germany, Austria, Spain, BVI, Cayman Islands, Bermuda, Barbados, and Hong Kong. By 2030 we aim to be one of the world’s leading advisory firms with a truly global footprint.
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.
This is an opportunity 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.
- Have strong consulting skills, having applied business intelligence and data analytics techniques in that context.
- Be very hands-on, technically strong on data engineering, reporting and analysis.
- Be commercially savvy and articulate in ‘data’ story-telling to clients and hence a trusted adviser to key stakeholders.
- 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
Benefits
At Interpath, our people lie at the heart of our business. That's why we provide employees with a competitive and comprehensive reward package including compelling salaries and a range of core and optional benefits. Read more about our benefits; Company Benefits - Interpath
Unsolicited Resumes from Third-Party Recruiters
Please note that Interpath do 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 employment agency, person or entity.