Graduate- HR Data Analyst (m/f/d)

SEFE Marketing & Trading Ltd
London
10 months ago
Applications closed

Related Jobs

View all jobs

Graduate Clinical Data Analyst

Graduate Data Engineer

Graduate Data Analyst (SQL)

Graduate Data Analyst (SQL)

Graduate Data Analyst - Python

Graduate Data Analyst - Power BI

Become a Graduate HR Data Analyst, leveraging analytics to enhance HR strategies, drive employee engagement, and support data-driven decision-making.

IN SHORT

Are you ready to kick-start your career and make a real impact on the dynamic energy landscape? SEFE, one of Europe’s leading energy companies, is offering an exciting graduate opportunity to join our HR team in London.

This is a fantastic opportunity for recent graduates to launch their careers in a supportive, inclusive environment. You’ll gain hands-on experience in an international company, build valuable connections, and start shaping a meaningful career in a fast-growing, future-focused industry.

From day one, we’ll support you in developing the technical, digital, and professional skills needed to excel as a HR Data Analyst.

WHAT YOU WILL DO

Join our HR team and develop your skills in data analysis, reporting, and decision-making support. In this role, you will:

  • Analyse HR data to identify trends in recruitment, turnover, performance, and compensation, providing data-driven insights
  • Assist in developing and tracking key metrics to measure the success of HR initiatives
  • Assist in ensuring HR data is accurate and up to date within the system
  • Present findings and recommendations to HR leaders and stakeholders in a clear, concise manner
  • Develop expertise in HR data analysis tools and software.

This is a great opportunity to kick-start your career in HR analytics with hands-on experience in data-driven decision-making.

WHAT YOU WILL BRING

We’re looking for an ambitious individual who’s on the lookout for an organisation where you can thrive and grow. To be considered, you should have:

  • A degree or predicted degree in an analytical field (eg data-science, mathematics) (2:1), together with
  • Three A levels (or equivalent) at grade A* - C or equivalent
  • Minimum of 5 GCSE’s (or equivalent) at grades 4 – 9 including Maths and English
  • The right to work in the UK for the duration of the Graduate Programme

You will also demonstrate

  • Analytical Thinking– Ability to assess situations, identify key issues, and establish clear decision-making criteria
  • Problem Solving & Initiative– Skilled at evaluating pros and cons, using logical reasoning to guide decisions
  • Planning & Organization– Effectively manages time, prioritizes tasks, tracks progress, and adapts plans as needed
  • Results Orientation– Demonstrates drive and commitment to achieving objectives and completing tasks efficiently
  • Communication– Confidently and clearly communicates both verbally and in writing
  • Collaboration & Teamwork– Actively listens, builds rapport, and works effectively with colleagues
  • Adaptability– Thrives in dynamic environments, demonstrating flexibility and responsiveness to change
  • Resilience– Maintains focus under pressure and quickly recovers from setbacks
  • Technical Proficiency– Strong working knowledge of Microsoft Office applications

ABOUT US

Securing Energy for Europe – it’s a simple statement, with a bold ambition. SEFE is not just our name, but also encompasses everything that drives us. To accomplish this, we’re taking immediate action to secure gas supply – but also looking forward, to explore our role in the European energy transformation and how we can contribute to a stable and sustainable future.

SEFE, an international energy company, ensures the security of supply and drives the decarbonisation of its customers. SEFE’s activities span the energy value chain, from origination and trading to sales, transport, and storage. Through its decades-long expertise in trading and the development of its LNG business, SEFE has become one of the most important suppliers to industrial customers in Europe, with an annual sales volume of 200 TWh of gas and power. Its 50,000 customers range from small businesses to municipalities and multinational organisations. By investing in clean energies and especially in the hydrogen ecosystem, SEFE is contributing to the energy transition. The company employs around 2,000 people globally and is owned by the Federal Government of Germany.

Our international teams work across locations in Europe, Asia, and North America. We’re passionate about energy and the important role it can play in shaping a better future.

Securing energy – now and for the future.

OUR BENEFITS

We’re committed to creating an inclusive environment that embraces diversity and fosters the development of knowledge, skills, and experience. Whatever your role, you’ll find an open, welcoming atmosphere that empowers you, and recognises your contribution.

In return we offer a competitive starting salary supported by a comprehensive range of financial, lifestyle and wellness benefits with the flexibility to follow a hybrid working model.

  • bonus earning potential
  • non-contributory pension with 10% employer contribution
  • 25 days holiday plus bank holidays and volunteering days
  • buy / sell holidays
  • life assurance
  • medical and dental insurance (family cover)
  • range of optional flexible benefits

We are committed to supporting your career growth with opportunities to develop both your knowledge and experience through a blended approach to learning.

Join SEFE and help us secure energy supply across Europe and shape a better, more sustainable tomorrow.

#J-18808-Ljbffr

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.

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.