At a Glance
- Tasks: Analyse and manage ESG data while collaborating with various departments.
- Company: Join a leading firm in London focused on sustainability and data integrity.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make a real impact in the ESG space and enhance your data analysis skills.
- Qualifications: 8-10 years in data analysis, preferably with ESG experience.
The predicted salary is between 51750 - 63250 £ per year.
- Hybrid in London - 3-5 days per week on site
- 6months+
Role Overview
We are seeking a Senior ESG Business Data Analyst to join our team in London, UK.
This is an exciting contract opportunity starting as soon as possible, with an initial duration of six months and a strong likelihood of extension.
This role requires a commitment to working on-site at the client's London office 3–5 days per week.
The successful candidate will be responsible for analysing and managing ESG data.
Responsibilities
- Analyse and manage ESG data, ensuring accuracy and consistency within the organisation.
- Develop and produce Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), process maps, data mappings, and business rules.
- Collaborate with stakeholders from various departments to identify and address data governance and quality issues.
- Work closely with ESG data providers such as MSCI, Sustainalytics, ISS ESG, S&P Global ESG, and CDP to ensure data integrity.
- Contribute to the development and implementation of data governance frameworks and sustainability datasets.
- Maintain a detailed understanding of corporate tree/issuer hierarchy data.
- Liaise with asset management teams to integrate ESG considerations effectively.
Experience
- 8–10 years' experience as a Business Data Analyst, ESG Data Analyst, or Data Governance professional.
- Extensive background in Asset Management, Investment Management, or Financial Services.
- Hands-on experience with ESG data providers and familiarity with ESG/sustainability datasets.
- Proven track record of excellent stakeholder management skills.
- ESG certifications (e. g., CFA ESG, GARP SCR) are advantageous.
- #J-18808-Ljbffr
Business Data Analyst employer: BrightBox Group
Join a dynamic and innovative team as a Lead Data Engineer in London, where you'll have the opportunity to work on high-profile projects while enjoying a flexible hybrid work model. Our company fosters a collaborative work culture that prioritises employee growth, offering mentorship opportunities and access to cutting-edge technologies. With competitive daily rates and a focus on professional development, this role is perfect for those seeking meaningful and rewarding employment in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like BrightBox Group before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like BrightBox Group.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like BrightBox Group.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at BrightBox Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to BrightBox Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab BrightBox Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at BrightBox Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at BrightBox Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at BrightBox Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at BrightBox Group.
