Associate Director, Data Analytics - Value Creation & DealsInterpath • Leeds, England, United Kingdom
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Associate Director, Data Analytics - Value Creation & Deals
Interpath
- Leeds, England, United Kingdom
- Leeds, England, United Kingdom
À propos
Locations: Leeds, Birmingham, Belfast, Manchester, Glasgow
Interpath is an international and fast‑growing advisory business with deep expertise across deals, advisory and restructuring. We deliver tangible results for global businesses, investors and stakeholders when complex problems arise and critical decisions need to be made. Interpath is agile, independent, and conflict‑free. Our passion for doing what's right sets us apart.
Since our foundation in 2021, Interpath has grown rapidly, with a presence across the UK, Ireland, France, Germany, Austria, Spain, BVI, Cayman Islands, Bermuda, Barbados and Hong Kong.
Interpath is looking for an experienced candidate to help develop its Data & Technology consulting group, of which the Data Analytics team is part. The team serves analytics requirements across multiple service lines.
We will consider Data Analytics specialists with experience in Value Creation, Transaction Services, Forensic or Compliance. The successful applicant will bring fresh data solutions and ideas for the variety of client projects, covering data collection, storage, application and presentation.
Key Accountabilities
Deals Analytics support
Build new data capabilities covering customer profiling, segmentation & profitability, demand forecasting & inventory management, supply chain optimisation and procurement spend analytics.
Create a Data Insight playbook covering the above topics.
Accelerate delivery timelines through better solutions.
Act as central point of contact for the team and build strong working relationships.
Show the art of the possible and be integral in the change management process.
Help the team extract information and provide insightful reports using different techniques.
Create meaningful dashboards to inform and predict trends for clients.
Work with the data team to determine the best data infrastructure to maximise analysis.
Design a blueprint architecture of tools and techniques 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 consulting).
University degree of 2.1 or higher (or equivalent) in Computer Science, Mathematics, Statistics or related field.
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.
Hands‑on technical expertise in data engineering, reporting and analysis.
Commercially savvy and articulate in data storytelling to clients, serving as a trusted adviser.
Numerate and analytical with knowledge of data management.
Proficient in BI tools such as PowerBI, Qlik, Tableau.
Proficient in Microsoft SQL.
Proficient in Python or R.
Strong knowledge of statistical methodologies and data analysis techniques (e.g., clustering).
Passionate about data analytics and able to research and adopt new tools quickly.
Ability to visualise data effectively and communicate findings and recommendations clearly.
Proven experience with cloud technologies (AWS, Azure, GCP).
Advantageous competencies (but not essential)
Exposure to AI/ML.
Experience with the open‑source stack.
Experience in price‑modelling techniques.
Experience 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 employees with a competitive and comprehensive reward package, including compelling salaries and a range of core and optional benefits.
Interpath does not accept unsolicited resumes from third‑party recruiters.
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Compétences linguistiques
- English
Avis aux utilisateurs
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