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

Apply Now

Graduate Data Analyst

London
6 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Analyst | Fast track your career to consultant in 12 months

Graduate Data Analyst

Graduate Data Analyst

Graduate Data Analyst

Graduate Data Analyst

Graduate Data Analyst

Provelio are currently looking for a Graduate Data Analyst to join their growing team in the South West and/or London to help deliver a diverse portfolio of data development projects.

The analyst will assist in the following activities:

  • Produce any project initiation documentation, project proposals and appointment terms.

  • Agree and action any technical and quality strategies for gathering the required data or information flows.

  • Help clients make evidence-based decisions to reduce their costs and drive productivity.

  • Be responsible for project administration.

  • Develop and maintain complex data models in SQL Server and PowerBI.

  • Translate raw inputs into meaningful management information.

  • Able to provide clear and succinct briefs to clients and other stakeholders on project requirements/findings.

  • Identify best practice approaches for data modelling to ensure continual improvement.

  • Clearly document key assumptions and processes to enable client and other stakeholders to replicate and understand your data models.

  • Able to direct and motivate others in the project team.

  • Manage project risks and issues including the development of contingency/mitigation plans.

    The successful candidate will demonstrate the following capabilities:

  • Able to demonstrate a strong understanding of Microsoft Excel for data transformation, modelling and data analysis.

  • Able to manipulate and restructure data using SQL.

  • Experience in SQL Server or equivalent database platforms.

  • Proficient in PowerBI DAX Code and using PowerBI to demonstrate complex issues to laymen users.

  • Maintains a strong attention to detail and is able to analyse information critically.

  • Maintain self-discipline and focus on the task at hand with minimal supervision.

  • Ability to scrutinise your own work before presenting it to senior management or clients.

  • Able to learn and adapt quickly under strict time constraints.

  • Able to interpret data and put findings into context.

  • Proficient in other Microsoft Office programmes

    Benefits

    Provelio take pride in investing in their employees and rewarding success. Our benefits and reward package for all employees includes...

  • Company Bonus Schemes

  • Training and Chartership Sponsorship

  • Payment of Professional Membership Fees

  • Hybrid Working

  • Enhanced Holiday Entitlement (28 days plus bank holidays)

  • Workplace Pension (above statutory minimum)

  • Additional Annual Leave for Reserves

  • Access to 24/7 Employee Assistance Programme (inc. GP services)

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.

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.

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.

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.