At a Glance
- Tasks: Create impactful data products and visual insights using Power BI.
- Company: Join CDP, a global non-profit leading environmental transparency.
- Benefits: Enjoy 30 days holiday, flexible working, and a generous pension.
- Other info: Permanent role in London with excellent career growth opportunities.
- Why this job: Make a real difference with data while developing your skills.
- Qualifications: Experience in data analytics, SQL, Python, and Power BI required.
The predicted salary is between 27265 - 34082 £ per year.
Location - London
Salary - £27,265 - £34,082 per year
About CDP: CDP is a global non‑profit that runs the world’s only independent environmental disclosure system. As the founder of environmental reporting, we believe in transparency and the power of data to drive change.
About the Team: The Data Analytic team comprises data analysts and data scientists working across CDP to deliver innovative data products and data analytical services for internal and external stakeholders including Marketing & Comms, Customer Success, Data Sales, Capital Markets, Cities, States and Regions and Supply Chain clients. You will help develop and deliver impactful insights projects as well as support day‑to‑day operations via servicing of ad‑hoc requests from across the organisation.
About this role: The Associate Data Analyst works closely with their squad to deliver impactful insights dashboards and data products to stakeholders from across the organization such as finance, marketing, comms, commercial, operations and technology. They work with a degree of expertise that allows them to carry out tasks independently and contribute to larger deliveries and projects under supervision. Associate Data Analysts contribute new ideas to the delivery code base and/or data quality checks and are expected to handle ad‑hoc service desk tickets to stakeholders across CDP. Collaboration and clear communication with other team members and leads is essential.
What you will do:
- Contribute to creating impactful data products and visual insights using Power BI.
- Work on cloud‑based scripts and pipelines using SQL, PySpark & Synapse Notebooks.
- Help ensure quality and accuracy of data feeding into the metrics, KPIs and dashboards.
- Review work carried out by other data analysts.
- Deliver insights and data extracts against ad‑hoc service tickets.
- Contribute user stories to the backlog and delivery plans for projects you are involved in.
Internal stakeholders include:
- Data Engineering
- Data Governance
- Products
- Thought Leadership
- Finance
- Customer Success
- Internal Communication
- External Communication
External stakeholders include:
- Data product customers
- Partner organisations
We're looking for:
- Experience with applied data analytics and/or data science, working with metrics, insights and data products.
- Strong coding capabilities in SQL, Python, PySpark and Notebooks.
- Experience with data visualisation and developing dashboards using Power BI or similar BI tools.
- Experience working with cloud computing in Azure Synapse or similar platforms.
- Ability to work on several projects or deliveries simultaneously.
- Great attention to detail and commitment to achieving high standards.
- Capability to work collaboratively with Git and DevOps.
- Excellent problem‑solving skills.
- Team player mentality.
- Excellent communication skills in English.
Desirable:
- Subject matter expertise in the field of ESG data and insights.
- Experience working according to agile project/product management practices.
- Applied experience with CRM tools and marketing automation tools.
Salary and benefits: The salary band for this role is £27,265 - £34,082 per year. Benefits include 30 days’ holiday plus bank holidays, generous non‑contributory pension provision, Employee Assistance Programme, life assurance, training and development opportunities, flexible working arrangements and other benefits.
Additional information: This is a permanent role based at CDP’s London office. Applicants must be eligible to work legally in the UK, live within commuting distance of the London office and be comfortable with two days in the office per week. Sponsorship for this role is not available.
How to apply: Please upload your CV in English via the application form. Applications will be reviewed on a rolling basis, so early applications are encouraged.
Associate Data Analyst in London employer: CDP
CDP is an exceptional employer, offering a collaborative and innovative work culture that empowers employees to make a meaningful impact on environmental transparency. With generous benefits including 30 days of holiday, a non-contributory pension, and ample training opportunities, employees are supported in their professional growth while working in the vibrant city of London. The role of Associate Data Analyst not only provides the chance to develop valuable data products but also fosters a team-oriented environment where your contributions directly influence sustainability efforts worldwide.
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We think this is how you could land Associate Data Analyst in London
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We think you need these skills to ace Associate Data Analyst in London
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CDP. 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 CDP
✨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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CDP!
✨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.
