At a Glance
- Tasks: Collect and analyse data on global power projects while collaborating with a diverse team.
- Company: Join Wood Mackenzie, a leader in the renewable energy sector.
- Benefits: Gain valuable experience in data management and the energy industry.
- Other info: Work in a dynamic environment with opportunities for growth and learning.
- Why this job: Make an impact in the renewable energy field and enhance your analytical skills.
- Qualifications: Strong analytical skills and a passion for data and renewable energy.
The predicted salary is between 30000 - 40000 £ per year.
Wood Mackenzie is looking for a Data Assistant to join our Power and Renewables Project Tracking Data team. The role focuses on data collection via research, supporting coverage of the global power industry.
Responsibilities
- Create, monitor, and maintain data relating to power plants by conducting primary and secondary research.
- Compile targeted data such as renewable project lists, data centers, company financials, asset transactions, tender announcements, and policy developments.
- Evaluate the alignment of our published data sources such as regulatory agencies, market operators, and developer disclosures.
- Collaborate with colleagues across multiple time zones and disciplines to leverage best practices and meet project timelines.
- Perform established workflows to execute data collection and improve data quality.
Qualifications
- Proven analytical capabilities, both qualitative and quantitative.
- Demonstrated interest in data management and in the renewable/energy industry.
- Excellent problem solving, documentation, communication and organization skills, and attention to detail.
- Engaging nature, capable of connecting with co‑workers, clients and industry stakeholders in a wide range of professional settings including giving presentations.
- Deep intellectual curiosity about what drives markets based on economic principles.
- Passionate ownership of projects and excitement to share accomplishments with colleagues.
- Strong listening and critical thinking skills.
- Fluency in English. Additional language skills are a plus.
- Comfortable working with common Excel functions and query languages.
Equal Opportunities
We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov. If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.
Data Associate - Power & Renewables employer: Wood Mackenzie Limited
Wood Mackenzie is an exceptional employer that fosters a collaborative and inclusive work culture, particularly within the dynamic field of Power and Renewables. Employees benefit from opportunities for professional growth through engaging projects and cross-disciplinary teamwork, all while contributing to meaningful advancements in the global power industry. Located in a vibrant environment, our team thrives on innovation and shared success, making it an ideal place for those passionate about data management and renewable energy.
StudySmarter Expert Advice🤫
We think this is how you could land Data Associate - Power & Renewables
✨Embrace Online Competitions
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✨Join Data Science Meetups
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We think you need these skills to ace Data Associate - Power & Renewables
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Wood Mackenzie Limited, 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 Wood Mackenzie Limited 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 Wood Mackenzie Limited
✨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!
