At a Glance
- Tasks: Support and enhance sustainability data systems for informed decision-making.
- Company: Join SC Johnson Professional®, a family-owned leader in hygiene and cleaning products.
- Benefits: Competitive salary, bonus, pension scheme, and 25 days annual leave.
- Other info: Dynamic office environment with opportunities for remote work and career growth.
- Why this job: Make a real impact on sustainability while developing your data analysis skills.
- Qualifications: Experience in SQL, Excel, and data visualisation tools; degree in relevant field preferred.
The predicted salary is between 40500 - 49500 £ per year.
Joining the team at SC Johnson Professional® makes you part of a family company with a deep history in the professional market as a leading manufacturer of skincare, cleaning and hygiene products, and smart technologies.
We provide solutions to Healthcare, Clean Industrial, Industrial, Office & Institutional, Hospitality & Travel, and Retail & Entertainment markets.
SC Johnson Professional® is a business unit within SC Johnson, a family-owned and led company and leading manufacturer of quality, trusted products since 1886.
- Data Analyst - Sustainability
- Function: RD&E
- Internal Job Title: Senior Associate, Data Analyst, Sustainability
- Competitive salary plus bonus
- Company pension scheme (up to 6% employer contributions)
- Life assurance (4× your salary)
- Free access to a healthcare platform offering nutritional advice, wellbeing support, and more
- Enhanced parental leave policy
- Free optical & hearing test vouchers
- 25 days annual leave plus statutory bank holidays
- Office based role with remote work available once a week for eligible employees
- Summer office hours: early Friday finish at 1:00 PM
- Employee benefits platform with discounts & wellbeing perks
- Access to employee assistance programmes
- Complimentary fresh fruit & hot drinks
- Subsidised on-site canteen
- Discounted products at our staff shop
- Free parking EV charging points at our Denby site (powered by our own renewable electricity!)
- Cycle-to-work scheme plus bicycle storage area
- \"Save a Space\" £200 monthly prize draw (earn a ticket every day you car share or don't use a parking space!)
• And so much more!
About the
Role: The successful candidate will play a pivotal role in supporting the development, maintenance, and ongoing enhancement of the SC Johnson Professional Sustainability Databank and reporting systems.
This position is responsible for ensuring the accuracy, integrity, and accessibility of sustainability data across key focus areas including Plastics, Chemistry, Carbon, Deforestation, and Waste, enabling informed decision-making and progress against sustainability ambitions.
The role also contributes to the preparation of sustainability reports and data submissions, supporting transparent, credible communication of performance, progress, and impact across the business, as well as ensuring all relevant Sustainability Regulatory and Financial legislations are complied with.
Responsibilities
- Support and maintain sustainability data sources to ensure integrity and alignment with evolving business requirements.
- Develop and manage the Sustainability Databank (Product & Product packaging data) and other repositories (e. g., Competitor Sustainability analysis).
- Ensure data availability and applicability to meet the needs of key stakeholders (RD&E, Supply Chain, Commercial, Finance).
- Support project sponsors/managers by delivering project-specific sustainability data requirements.
- Provide input into the creation of the Reporting Portal with self-serve formats and dashboards for easy stakeholder access to sustainability data
- Provide data as directed to meet the needs of corporate, regulatory, and regional requirements
- Maintain analytics tools that provide data for use in insight generation
Experience you’ll bring
- Experience in SQL, Excel, Power Query and data visualization tools (e. g., Tableau, Power BI)
- Familiarity with SAP or similar PLM tools
- Familiarity with product analytics platforms
- Ability to translate technical data, regulatory requirements, etc into business insights and opportunities
- Bachelor's degree in Data Analytics, Data Science, Environmental Science, Sustainability, or related field; advanced degree preferred
- Ability to communicate effectively, translating data analytics outputs into actionable directions.
- Behaviors you’ll need
- Strong attention to detail, with a consistent focus on data accuracy, quality, and integrity.
- A proactive, structured approach to managing complex data sets and evolving requirements.
- Curiosity and problem-solving mindset, with the ability to explore data to uncover insights and opportunities.
- Please
Note: This role is based in the UK, and applicants must have the right to work in the UK.
We do not provide domestic or international relocation for this role.
You will be required to work from the office 5 days a week during the 90 days.
After this, the arrangement will transition to 4 days in the office and one day working from home each week.
Inclusion & Diversity
We believe Inclusion and Diversity is more than a program.
We embed inclusive practices in our day-to-day work, the way we relate to our colleagues, collaborate and make decisions.
We value the collective richness of the differences people bring to the organization, including style, personality, thoughts, race, ethnicity, culture, religion, gender, gender identity, sexual orientation, age, and disability that enables all to bring their full contributions to the organization.
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Data Analyst - Sustainability employer: SC Johnson GmbH
SC Johnson GmbH is an outstanding employer located in Frimley, UK, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive onboarding processes, ongoing professional development opportunities, and a supportive environment that values their contributions. With a commitment to employee engagement and a focus on creating a meaningful workplace experience, SC Johnson is dedicated to helping you grow your HR career while making a positive impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Sustainability
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We think you need these skills to ace Data Analyst - Sustainability
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at SC Johnson GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SC Johnson GmbH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SC Johnson GmbH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
