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

Apply Now

Junior Data Analyst

Workable
London
7 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Are you looking to start a career in data analysis but don’t have prior experience? Join our team as a Data Analyst, and we will provide all the support and mentoring you need to succeed in this exciting field.

This role is perfect for someone analytical, curious, and eager to learn, with a passion for working with data.

As a Data Analyst, you will work alongside experienced professionals and gain hands-on experience in data processing, analysis, and visualisation.

We’re committed to your development and will support you every step of the way as you grow into a skilled data analyst.

Responsibilities:

  • Data Collection & Processing: Assist in gathering, cleaning, and organising large datasets from multiple sources.
  • Data Analysis: Learn how to perform basic data analysis, generate insights, and identify trends using various tools and techniques.
  • Reporting & Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format.
  • Collaboration: Work closely with senior analysts and other departments to understand business needs and contribute to ongoing projects.
  • Learning & Development: Participate in training sessions and apply new skills to real-world projects, with the opportunity to specialise in areas such as data science, business intelligence, or machine learning.
  • Documentation & Process Improvement: Assist with documenting analysis processes and identifying areas where data workflows can be optimised.

Requirements

We are looking for someone who has:

  • A passion for data and problem-solving.
  • Strong attention to detail and a methodical approach.
  • An eagerness to learn new tools and techniques.
  • Strong communication skills and the ability to work effectively in a team.

This role is Ideal for someone with no prior data experience but a keen interest in starting a career in data analysis

Benefits

  • Comprehensive Training: Receive full training in data analysis, including tools like Excel, SQL, Power BI, Python, and more.
  • Career Development: Access to mentorship, career guidance, and opportunities for advancement as you grow in your role.
  • Hybrid Working: Enjoy a flexible work arrangement with a combination of remote work and office-based collaboration.
  • Supportive Team: Join a friendly, inclusive team that encourages growth and learning.
  • Competitive Salary: Receive a competitive starting salary with performance-based increases.
  • Health & Wellbeing: Access to health benefits and wellbeing initiatives.
  • Paid Time Off: Generous annual leave and public holiday allowances to support a healthy work-life balance.
  • Professional Growth: Opportunities to take on more responsibilities and specialise in areas of data analysis that interest you.

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.

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.

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.