At a Glance
- Tasks: Create impactful data products and insights using Power BI and SQL.
- Company: Join CDP, a global non-profit leading environmental transparency.
- Benefits: Enjoy 30 days holiday, flexible working, and a generous pension scheme.
- Other info: Collaborative team environment with opportunities for growth and development.
- Why this job: Make a real difference in environmental reporting while developing your data skills.
- Qualifications: Experience in data analytics, coding in SQL and Python, and dashboard creation.
The predicted salary is between 27265 - 34082 £ per year.
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.
Partnering with leaders in enterprise, capital, policy and science, we surface the information needed to enable Earth-positive decisions. We helped more than 24,800 companies and almost 1,000 cities, states and regions disclose their environmental impacts in 2024. Financial institutions with more than a quarter of the world’s institutional assets use CDP data to help inform investment and lending decisions.
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. Alongside the team, you will help develop and deliver exciting and impactful insights projects as well as support day-to-day operations via servicing of ad-hoc requests from across the organisation.
The Associate Data Analyst works closely with their squad to deliver impactful insights dashboards and data products to stakeholders from across the organization including finance, marketing, comms, commercial, operations and technology. They work with a degree of expertise in their field that allows them to carry out tasks independently and contribute to larger deliveries and projects under supervision. Associate Data Analysts contribute new ideas to delivery code base and/or data quality checks. In addition to working on planned deliveries, they are expected to contribute to delivering ad-hoc service desk tickets to stakeholders across CDP. The Associate Data Analyst is expected to collaborate and clearly communicate ideas to other team members and leads.
- Contribute to creating impactful data products and data visuals and 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.
- Ensuring you know what is expected of you, through regular 1:1s, having clear objectives in place, and participating in open and honest performance and development conversations.
Some experience with applied data analytics and/or data science, working with metrics, analytics insights and data products.
- Strong coding capabilities in SQL, Python, PySpark and Notebooks.
- Some applied data visualisation experience developing dashboards with PowerBI or similar BI tools.
- Ability to work on several projects/deliveries simultaneously.
- Capable of working collaboratively with Git and DevOps.
- Excellent communication skills in English.
Subject matter expertise in the field of ESG data and insights. Experienced working according to agile project/product management is desirable. Applied experience with CRM tools and marketing automation tools.
The salary banding for this role is £27,265 - £34,0827/year, 30 days’ holiday plus bank holidays, generous non-contributory pension provision, Employee Assistance Programme, life assurance, training and development, flexible working opportunities and other benefits.
This is a permanent role based at CDP’s London office. Interested applicants must be eligible to work legally in the UK and live within a commutable distance of the London office and be comfortable with 2 days in the office per week. Please upload your CV in English via the application form.
Associate Data Analyst (Hybrid) employer: CDP Global
CDP is an exceptional employer, offering a unique opportunity to work at the forefront of environmental sustainability in London. With a strong commitment to employee growth and a collaborative work culture, team members are encouraged to engage in meaningful projects that drive positive change. The hybrid work model and focus on inclusivity ensure a supportive environment where every voice is valued, making it an ideal place for those passionate about making a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Analyst (Hybrid)
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CDP Global.
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We think you need these skills to ace Associate Data Analyst (Hybrid)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CDP Global, 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 CDP Global. 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 Global
✨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!
✨Showcase Your Projects
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 Global!
✨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.
