Associate Director, Data Analytics - Value Creation & Deals

Interpath
Belfast
7 months ago
Create job alert
Associate Director, Data Analytics - Value Creation & Deals

Interpath Belfast, Northern Ireland, United Kingdom


Interpath is an international and fast‑growing advisory business with expertise spanning deals, advisory and restructuring capabilities. We deliver tangible results for global businesses, investors and stakeholders when complex problems arise and critical decisions need to be made.


We are looking for an experienced candidate to help develop Interpath's Data & Technology consulting group and lead the Data Analytics team.


Key Accountabilities

  • Deals Analytics support
  • Building new data capabilities covering Customer profiling, segmentation & profitability; demand forecasting & inventory management; supply chain optimisation; and (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.
  • Strong consulting skills, having applied business intelligence and data analytics techniques in that context.
  • Hands‑on, technically strong on data engineering, reporting and analysis.
  • Commercially savvy and articulate in data storytelling to clients, becoming 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 (e.g. clustering).
  • Passionate about data analytics; 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 with 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 (e.g. Google or Adobe analytics).

Benefits

At Interpath, our people lie at the heart of our business. We provide a competitive and comprehensive reward package, including compelling salaries and a range of core and optional benefits. Detailed information can be found on our company benefits page.


Unsolicited Resumes from Third‑Party Recruiters


Interpath does 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 agency, person or entity.


#J-18808-Ljbffr

Related Jobs

View all jobs

Associate Director, Data Analytics — Value Creation & Deals

Associate Director, Data Analytics - Value Creation & Deals

Associate Director, Data Analytics - Value Creation & Deals

Associate Director - Data Analytics

Associate Director - Data Analytics

Associate Director - Data Analytics

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.