Data Analyst

Ada Meher
Sheffield
7 months 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.

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.

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Jobs

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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.

🍪 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.