National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

Ada Meher
Sheffield
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst – Sheffield / Hybrid (1/2 Days in office per month) – Up to £48K


We are working with a unique company based in Sheffield, South Yorkshire, looking for a talentedData Analystto join their team. The company has tons of data streaming into the business, and in this role, you will dive deep into these complex data sets, extracting meaningful insights that tell a compelling story. Your work will play a key role in guiding business decisions and driving growth. The ideal candidate will be skilled in Python, SQL, and experienced with data visualisation and reporting tools like Tableau, PowerBI or Qlik.


Why Apply?

The business has a fantastic reputation, giving their staff the autonomy they need to deliver. They’re known for their flexibility, where they give you the opportunity to balance your work around your life, as opposed to balancing your life around your work. They want you in the office twice a month to catch-up with the team, otherwise you’re free to work the way that you feel will allow you to succeed.


Key Responsibilities:

  • Analyse large, complex data sets to extract actionable insights and identify trends.
  • Develop data-driven reports and visualisations that clearly communicate findings to both technical and non-technical stakeholders.
  • Collaborate with different teams to understand data needs and deliver insightful analyses that guide decision-making.
  • Utilise Python and SQL to manipulate and query data from various sources.
  • Create dashboards and reports using tools such as Tableau or Power BI to present clear, visual insights.
  • Support data-driven initiatives by ensuring data integrity and accuracy.


Key Requirements:

  • Proficiency in Python and SQL for data manipulation and analysis.
  • Experience with reporting tools such as Tableau, PowerBI or Qlik.
  • Strong analytical skills with the ability to translate complex data into easy-to-understand insights.
  • Excellent communication skills to tell a data-driven story to stakeholders at all levels.
  • Ability to work independently and collaboratively within a team.
  • A passion for solving complex problems through data analysis.
National AI Awards 2025

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.