At a Glance
- Tasks: Analyse data to support business decisions and improve operational performance.
- Company: Leading aviation organisation offering a fully remote, part-time role.
- Benefits: Flexible hours, competitive pay, and the chance to work with industry experts.
- Other info: Short-term contract with opportunities for growth and learning.
- Why this job: Transform raw data into insights and make a real impact in the aviation sector.
- Qualifications: Experience in data analysis tools like Excel, SQL, Python, or R.
The predicted salary is between 31500 - 38500 £ per year.
Data Analyst (Fully Remote - 3 month - Part Time/Approximately 10-15 days utilisation over the course of 3 months)
Our client, based in Heathrow, a leading aviation organisation are looking for a data analyst on a short term basis.
The role will suit someone used to taking on contracts of short or part time nature and assisting with data analysis in a short form/consultative capacity.
It is fully remote.
The Data Analyst is responsible for collecting, validating, analysing, and interpreting data to support business decision‑making.
This role transforms raw data into actionable insights and collaborates with stakeholders to improve operational performance and strategic planning.
Key Responsibilities
- Collect, process, and validate large datasets from multiple sources.
- Identify trends, patterns, and insights to support business decisions.
- Work closely with stakeholders to understand data needs and translate them into analytical outputs.
- Review data and ensure quality, accuracy, and integrity.
- Build and automate reporting processes to improve efficiency.
- Support modelling, and scenario analysis activities.
- Document data sources, methodologies, and analytical processes.
- Ensure compliance with data governance and information security policies.
- Required Skills and Competencies
- Technical Skills
- Strong proficiency in data analysis tools (Excel, SQL, Python and/or R).
- Experience with BI tools (Power BI, Tableau, Qlik) is beneficial
- Ability to work with relational databases and complex datasets.
- Understanding of statistical methods and data modelling.
- Core Competencies
- Excellent analytical and problem‑solving skills.
- Strong attention to detail and accuracy.
- Ability to communicate insights clearly to non‑technical audiences.
- Strong organisational and time‑management skills.
- Ability to work independently and collaboratively.
Qualifications & Experience
- Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related discipline.
- Experience in Aviation is an advantage
- Experience in a data analyst or similar role (1-3 years for standard roles; adjust as needed).
- Experience with cloud data platforms (Azure, AWS, GCP) is beneficial.
- Knowledge of ETL processes and data governance frameworks is an advantage.
- Personal Attributes
- Curious and proactive mindset.
- Strong business acumen and willingness to learn.
- Ability to handle confidential information with integrity.
- Collaborative team player with a positive attitude.
Again, this is a short term, part time role that requires 10-15 days utilisation across the 3 month period, initially.
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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Data Analyst in England employer: Carbon60 Project Services
Join a leading aerospace company as an Avionics Technician, where you will be part of a dynamic team dedicated to the Chinook helicopter program. Enjoy a competitive hourly rate of £35, alongside a supportive work culture that prioritises employee growth and development through ongoing training and mentorship opportunities. Located in a vibrant area, this role offers unique advantages such as access to cutting-edge technology and the chance to contribute to exciting projects in the aviation industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in England
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Carbon60 Project Services.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Carbon60 Project Services and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Data Analyst in England
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Carbon60 Project Services aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Carbon60 Project Services
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Carbon60 Project Services.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Carbon60 Project Services.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Carbon60 Project Services, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Carbon60 Project Services will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
