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

SEFE Marketing & Trading Ltd
London
6 days ago
Create job alert

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

Related Jobs

View all jobs

Graduate

Graduate Data Scientist / Engineer – Guildford area £30k- £40k

Graduate Data Analyst

Graduate Claims Analyst

Graduate Teaching Assistant (GTA) - Investigation of semi-supervised solutions in cloud detection from remote sensing

Graduate Data Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.