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- Tasks: Develop a transparent, data-driven ranking of the Top 75 airlines globally.
- Company: Join a pioneering project focused on objective and verifiable data analysis.
- Benefits: Flexible contract duration with milestone-based payments and potential for long-term collaboration.
- Why this job: Make a real impact in the aviation industry through rigorous data analysis and methodology.
- Qualifications: Experience in index construction, strong statistical skills, and proficiency in Python or R.
- Other info: Work in a dynamic environment with a focus on transparency and objectivity.
The predicted salary is between 36000 - 60000 £ per year.
Project: Global Top 75 Airline Ranking (Index-Based, Transparent Methodology)
We are developing an independent, data-driven global ranking of the Top 75 airlines worldwide. This is a serious analytical project - not a simple list or subjective ranking. The final product must be fully transparent, index-based, and reproducible.
We are looking for an experienced data analyst with a strong background in quantitative analysis and index construction.
Scope of Work
- Develop Methodology
- Define objective, measurable indicators
- Propose normalization approach
- Propose weighting logic (clear and defensible)
- Develop final index formula
- Ensure full transparency and replicability
- Data Collection
- Identify Top 75 airlines globally based on objective criteria
- Collect structured data for all selected indicators
- Provide source references for each metric
- Clearly mark missing or estimated data (if applicable)
- Index Calculation
- Apply normalization
- Calculate final index score (scale preferred)
- Produce ranked Top 75 table
- Perform consistency checks
- Deliverables
- Structured dataset (Excel or Google Sheets)
- Full methodology document (clear explanation of formula)
- Ranked Top 75 table
- Short analytical summary (key insights, 1–2 pages)
- Full transparency of all data sources
Important Principles
- Strictly objective data
- No political considerations
- No sanction-based adjustments
- No subjective scoring
- Fully reproducible model
The ranking must withstand professional scrutiny.
Ideal Candidate
- Proven experience in index construction or ranking models
- Strong statistical background
- Advanced Excel / Python / R
- Experience working with international datasets
- Ability to justify methodological decisions clearly
Project Structure
- Methodology approval
- Data collection
- Index calculation
- Final documentation
Payment will be milestone-based after approval of each stage.
To Apply
- Examples of similar analytical or ranking projects
- Your proposed approach (brief outline)
- Estimated timeline
- Any suggestions to improve robustness
We are looking for quality and long-term collaboration potential. Contract duration of 1 to 3 months.
Mandatory skills: Data Analysis, Statistics, Quantitative Analysis, Data Modeling, Python, Exploratory Data Analysis, Statistical Analysis, Regression Analysis, Data Interpretation, R
Data Analyst Needed to Develop Global Top 75 Airline Ranking employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Needed to Develop Global Top 75 Airline Ranking
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or at events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving index construction. We love seeing real examples of your work in action.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and methodologies. We recommend practising common data analysis questions and being ready to discuss your approach to transparency and objectivity.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who align with our mission.
We think you need these skills to ace Data Analyst Needed to Develop Global Top 75 Airline Ranking
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with index construction and data analysis in your application. We want to see how you've tackled similar projects before, so don’t hold back on the details!
Be Clear and Concise: When outlining your proposed approach, keep it straightforward. We appreciate clarity, so break down your methodology and timeline in a way that’s easy for us to digest.
Use Objective Data Sources: Since we’re all about transparency and objectivity, ensure you mention the verifiable data sources you plan to use. This will show us you understand the importance of solid foundations in your analysis.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at FreelanceJobs
✨Know Your Data Inside Out
Make sure you’re well-versed in the data sources and methodologies relevant to the airline ranking project. Be prepared to discuss how you would ensure the objectivity and transparency of your data collection process.
✨Showcase Your Analytical Skills
Bring examples of previous projects where you’ve constructed indices or rankings. Highlight your experience with statistical tools like Python or R, and be ready to explain your approach to normalisation and weighting logic.
✨Prepare for Methodology Questions
Expect questions about your proposed methodology. Think through how you would define measurable indicators and justify your choices. Being able to articulate your thought process clearly will impress the interviewers.
✨Demonstrate Collaboration Potential
Since this project involves milestones and collaboration, be ready to discuss how you work with teams. Share examples of how you’ve successfully collaborated on similar analytical projects and how you handle feedback.
