I have a thesis assignment that required conducting a job market analysis using LinkedIn data.
However, when my professor reviewed the initial Excel file, he realized that the data collection methodology was not applied correctly and requested a full correction.
In essence, what needs to be done now is to rebuild the Excel file from scratch, following very specific methodological instructions provided by the professor, so that the results are produced correctly and are fully aligned with his requirements.
The Excel file must be structured according to the instructions below, ensuring that:
- the data collection is methodologically sound,
- all reported numbers are accurate and traceable,
- and the final results strictly follow the professors guidelines.
The goal is not to change the topic or the theoretical part of the thesis, but to correct and properly implement the LinkedIn data collection and quantitative analysis through a correctly designed Excel dataset.
The professor told me that the excel must be
Professors Feedback Clarification Summary (in English)
I understand that there is currently some confusion regarding the Excel files and the data collection methodology, and I agree that an immediate meeting would be very useful in order to clarify everything and ensure methodological consistency.
Regarding the updated Excel file, the values for Greece in the sheet FILTER_COUNTS_RAW now appear correctly and differ significantly from those shown in the previous version. However, some values seem to be missing.
Two key questions have been raised:
A) Where are the corresponding values for the United States and the European Union?
For example, in which specific cell can the value 2,484, mentioned in the report text for remote job positions in the EU, be found?
B) A very important methodological issue concerns the search queries used:
For the United States, the query used was Software Engineer, and for the EU Data Analyst. These queries are not related to marketing and mainly return job listings in software engineering or data analysis, rather than marketing-related positions.
The correct queries that should be used (exactly as specified) are the following:
- Greece:
"digital marketing" OR " "
(in both English and Greek, exactly as written, without adding terms such as specialist, since this formulation already captures all relevant positions) - United States:
"digital marketing"
(exact phrase, with quotation marks) - European Union:
`”digital marketing” OR ” ” OR “<term in French>” OR “<term in Italian>” OR “<term in German>” OR “<term in Spanish>” OR “<term in Portuguese>” OR “<term in Romanian>” OR
(and correspondingly for the other official languages spoken within the EU, resulting in a long combined query)
By using one unified query per geographical region, the resulting counts are methodologically sound, and duplicate job listings are not counted multiple times.
Requirements: as long as it needs
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