Business Intelligence Lead

Workable
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analyst For Regulated Service & Resources

Business Intelligence Developer

Business Intelligence Engineer

Head of Development and Business Intelligence

Business Intelligence Analyst

Business Intelligence Analyst

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.

We’re looking for a skilled and driven Business Intelligence Lead to lead our BI initiatives and support Interpath’s growth into a global Financial Advisory and Restructuring platform business. In this end-to-end role, you’ll manage projects from concept to delivery, tackling complex areas such as sales pipeline, revenue, profitability, cash flow, marketing, recruitment, and people metrics. As the function evolves from traditional reporting to strategic BI partnering, you’ll play a key role in shaping data-driven decision-making. You’ll work closely with a range of stakeholders to gather requirements, extract insights, and develop clear, actionable dashboards and reports.

 

Key Accountabilities:

  • Design and develop interactive dashboards, reports, and data visualisations using BI tools such as Power BI (preferred), Tableau, or Qlik.
  • Collaborate with stakeholders to gather requirements and translate them into effective BI solutions.
  • Optimise BI solutions for performance, usability, and scalability.
  • Implement and manage security protocols to ensure data integrity and confidentiality.
  • Conduct detailed data analysis to identify trends, patterns, and insights.
  • Develop and maintain comprehensive reports and analytics to support business operations and strategic initiatives.
  • Utilise statistical methods and data mining techniques to interpret complex data sets.
  • Provide actionable insights and recommendations based on data analysis.
  • Develop best practices and standards for BI processes and documentation.
  • Stay current with industry trends, best practices, and emerging technologies in BI and data analytics.

Requirements

  • BA/MA/BSc/MSc in Mathematics.
  • At least 6 years of experience in business intelligence or data analytics within consulting, professional services or a similar environment.
  • Strong proficiency in BI tools such as Power BI, Tableau, or Qlik.
  • Solid understanding of data warehousing concepts and database management.
  • Experience with SQL and data visualisation best practices.
  • Excellent analytical and problem-solving skills, with attention to detail.
  • Proven ability to lead projects and collaborate with cross-functional teams.
  • Strong communication and presentation skills to convey complex data insights to non-technical stakeholders.
  • Experience in managing and mentoring a team.

Desirable Criteria:

Familiarity with machine learning concepts and predictive 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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.