At a Glance
- Tasks: Support sustainability data collection, management, and reporting for impactful ESG initiatives.
- Company: Join a forward-thinking company committed to sustainability and social responsibility.
- Benefits: Enjoy hybrid working, bonuses, generous holiday, and community volunteering days.
- Other info: Collaborate with diverse teams and enhance your career in a dynamic environment.
- Why this job: Make a real difference in sustainability while developing your analytical skills.
- Qualifications: Degree in relevant field and strong Excel skills required.
The predicted salary is between 30000 - 40000 £ per year.
We are looking for a detail-oriented Junior ESG Data Analyst to support the collection, management and reporting of sustainability and ESG data across the business.
This role will play a key part in ensuring the accuracy and integrity of sustainability information used for regulatory reporting, internal decision-making and supplier compliance.
The successful candidate will work with cross‑functional teams to maintain datasets, improve reporting processes and support sustainability initiatives through robust data analysis.
What you’ll be doing
- Sustainability Data Management
- Collect, validate and maintain sustainability and ESG datasets from internal teams and external partners.
- Support the tracking and reporting of environmental and social performance metrics.
- Maintain accurate records relating to product certifications, supplier compliance, packaging and sustainability claims.
- Ensure data integrity across sustainability systems, supplier platforms and internal databases.
- Assist with data cleansing, reconciliation and quality assurance activities.
- Reporting & Analysis
- Produce regular sustainability performance reports and dashboards.
- Support ESG reporting requirements and disclosure processes.
- Analyse trends and identify data anomalies, gaps and opportunities for improvement.
- Prepare reports and presentations for internal stakeholders.
- Support carbon, packaging and responsible sourcing reporting activities.
- Compliance & Governance
- Assist with the collection and validation of evidence required for audits and compliance activities.
- Support the management of certification and traceability data within relevant platforms.
- Monitor supplier data submissions and follow up where information is incomplete.
- Help ensure reporting aligns with emerging sustainability regulations and industry requirements.
- Systems & Process Improvement
- Support the administration and development of sustainability data systems and tracking tools.
- Identify opportunities to improve reporting efficiency and data accuracy.
- Contribute to the development of new dashboards, automated reporting and process documentation.
- Work closely with Sustainability, Product, Sourcing and Technology teams to improve data availability and accessibility.
Qualifications
- Degree in Sustainability, Environmental Science, Data Analytics, Business Analytics or a related discipline.
- Excellent Excel skills, including data manipulation, lookups and pivot tables.
- Strong analytical and problem‑solving skills.
- High attention to detail and commitment to data accuracy.
- Ability to manage multiple data sources and deadlines.
- Strong communication and stakeholder management skills.
Desirable
- Experience using Power BI, Tableau or similar visualisation tools.
- Knowledge of ESG reporting frameworks and sustainability metrics.
- Experience working with large datasets.
- Understanding of retail, supply chain or product data.
- Familiarity with traceability or compliance systems.
- What Success Looks Like
- Accurate and timely sustainability reporting.
- Strong governance and quality of ESG data.
- Improved visibility of sustainability performance metrics.
- Efficient reporting processes and well‑maintained tracking systems.
- Reliable support for regulatory and stakeholder reporting requirements.
Benefits
- Hybrid working (3 days a week in the office, Monday mandatory)
- Quarterly/annual bonus opportunity
- Up to 25 days holiday per annum, plus bank holidays
- 2 extra paid days off per year to volunteer in the local community
- 50% discount
- Subsidised BUPA Dental Insurance, Healthcare cash plan and Life Assurance
- Interest free season ticket loan
- Pension contribution
- #J-18808-Ljbffr
ESG `Data Analyst in London employer: White Stuff
WHITE STUFF is an excellent employer that fosters a vibrant work culture where creativity and collaboration thrive. With a strong focus on employee growth, you will have access to training and development opportunities while enjoying generous benefits like a quarterly bonus and up to 25 days of holiday each year. Join us in the North Central area, where your leadership can make a meaningful impact across our stores in Beverley and Manchester.
StudySmarter Expert Advice🤫
We think this is how you could land ESG `Data Analyst in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like White Stuff when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like White Stuff.
✨Networking Through University Career Services
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✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through White Stuff’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace ESG `Data Analyst in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at White Stuff, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at White Stuff aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at White Stuff
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
