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- 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.
- Why this job: Transform raw data into insights and make a real impact in the aviation sector.
- Qualifications: Bachelor's degree in a related field and experience with data analysis tools.
- Other info: Short-term contract with opportunities for growth and learning.
The predicted salary is between 30000 - 40000 £ per year.
Our client, based in Heathrow, a leading aviation organisation, is 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.
- 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.
- 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.
- 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.
This is a short-term, part-time role that requires 10-15 days utilisation across the 3-month period, initially.
Data Analyst employer: Carbon 60
Contact Detail:
Carbon 60 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Network Like a Pro
Get out there and connect with people in the industry! Use platforms like LinkedIn to reach out to current data analysts or hiring managers. A friendly message can go a long way in getting your foot in the door.
✨Show Off Your Skills
Create a portfolio showcasing your data analysis projects. Whether it's a cool visualisation or a complex SQL query, having tangible examples of your work can impress potential employers and set you apart from the crowd.
✨Ace the Interview
Prepare for common data analyst interview questions and be ready to discuss your thought process. Practice explaining your analytical methods clearly, as you'll need to communicate insights to non-technical stakeholders.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you access to exclusive roles but also helps us match you with opportunities that fit your skills perfectly!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the Data Analyst role. We want to see how your background in data analysis tools like Excel, SQL, or Python aligns with what we're looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're interested in this short-term role and how your analytical skills can help us make better business decisions. Keep it concise and engaging!
Showcase Relevant Experience: If you've worked with large datasets or have experience in aviation, make sure to mention it! We love seeing how your past roles have prepared you for this position, especially if you've tackled similar challenges before.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to review your application and get back to you quickly. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Carbon 60
✨Know Your Data Tools
Make sure you brush up on your skills with data analysis tools like Excel, SQL, Python, and R. Be ready to discuss how you've used these tools in past roles, especially in a consultative capacity, as this will show your practical experience.
✨Understand the Aviation Context
Since the role is with a leading aviation organisation, it’s beneficial to familiarise yourself with industry-specific data challenges. Research current trends in aviation data analysis and think about how your skills can contribute to operational performance.
✨Prepare for Stakeholder Interaction
This role involves collaborating with stakeholders, so be prepared to demonstrate your communication skills. Think of examples where you've translated complex data insights into clear, actionable recommendations for non-technical audiences.
✨Show Your Proactive Mindset
The client is looking for someone with a curious and proactive mindset. During the interview, share instances where you've taken initiative in your previous roles, whether it was automating reporting processes or improving data quality.