Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead BI Consultant - Hybrid/London - £95,000 + 15% Bonus

Tenth Revolution Group
City of London
9 months ago
Applications closed

Related Jobs

View all jobs

Head of BI & Data Analytics

Management Consultant: Data Analytics Lead – Managing Principal

SAP Master Data Governance (MDG) solutions.

Principal Data Engineering Consultant

Lead Client Relationship Manager - Business Intelligence for Marketers

Data Analytics - Principal Consultant

My client is based in the London area are currently looking to recruit for an experienced Lead Power BI Consultant to join their BI team. They are the leaders in the Consulting Space and embrace creativity, technology and new ideas. They are committed to invest in Diversity & Inclusion facilitating a tight knit and cohesive environment.Your role will include:Providing BI development, advice and solution development using Microsoft Power BI, SQL, SSAS and Azure.Working closely with key stakeholders to deliver on business outcomes. Solving simple and complex problems.Translating business problems into technical requirements/outcomes.My client is providing access to;25 days holiday + all bank holidays (+ Long Service Reward)Defined Benefit Pension SchemeAnd more...To be a good fit for this role you should have knowledge with the following:Power BIDAX / M Language Data Visualisation DatabricksETL (Data Cleansing/Quality)Experience with the Power Platform (Automate, Apps, Fabric) in general (nice to have)Relational and Dimensional Data ModellingExperience / exposure to Azure and Azure Analysis ServicesThis role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence.Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.