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Remote Work Cyber Salary Data
Data Science and Analytics
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About
This dataset provides a classification of salaries across various InfoSec and Cyber Security fields. It offers detailed insights into compensation, factoring in elements such as the working year, specific job titles, experience levels, employment types, and salary figures in both local currency and USD. Additionally, it includes information on employee residence, company location, company size, and the remote working ratio, making it a valuable resource for analysing salary trends and compensation structures within the cybersecurity industry.
Columns
- work_year: Represents the year the salary was paid.
- job_title: Describes the specific role worked in during the year.
- experience_level: Indicates the experience level in the job, categorised as EN (Entry level / Junior), MI (Mid level / Intermediate), SE (Senior level / Expert), and EX (Executive level / Director).
- employment_type: Specifies the type of employment for the role, including PT (Part time), FT (Full time), CT (Contract), and FL (Freelance).
- salary: The total gross salary amount paid.
- salary_currency: The currency of the salary paid, represented as an ISO 4217 currency code.
- salary_in_usd: The salary converted to USD, calculated using the FX rate divided by the average USD rate for the respective year via fxdata.foorilla.com.
- employee_residence: The employee's primary country of residence during the work year, specified as an ISO 3166 country code.
- company_location: The country where the employer's main office or contracting branch is located, as an ISO 3166 country code.
- company_size: The median number of people employed by the company during the year, categorised as S (small - Less than 50 employees), M (medium - 50 to 250 employees), and L (large - More than 250 employees).
- remote_ratio: The overall amount of work done remotely, indicated as 0 (No Remote Work, less than 20%), 50 (Partially Remote), or 100 (Fully Remote, more than 80%).
Distribution
The dataset is provided in a CSV format, specifically as
Cyber_salaries.csv, with a file size of 85.24 kB. It comprises 11 columns and contains 1349 records. The data is structured to provide detailed information for each salary entry.Usage
This dataset is ideal for:
- Analysing salary trends and compensation across various InfoSec and Cyber Security roles.
- Benchmarking salaries based on experience level, job title, and geographical location.
- Investigating the impact of company size and remote work policies on cybersecurity salaries.
- Studying the distribution of employment types within the InfoSec sector.
- Supporting career planning and recruitment strategies in cybersecurity.
Coverage
The dataset spans the working years of 2020, 2021, and 2022. Geographically, it covers various employee and company locations identified by ISO 3166 country codes, with a significant presence in the US (70% employee residence, 72% company location), and notable representation from Canada and Great Britain. The data includes different experience levels (Entry, Mid, Senior, Executive) and company sizes (Small, Medium, Large). Senior level roles constitute 46% of the data, and full-time employment accounts for 98%. Salaries are most commonly recorded in USD (76%).
License
CC0: Public Domain
Who Can Use It
- Cybersecurity Professionals: For salary negotiation and career progression insights.
- HR and Recruitment Specialists: To inform compensation packages and talent acquisition strategies for cybersecurity roles.
- Data Scientists and Analysts: For in-depth research on market trends, economic factors, and employment dynamics in the InfoSec sector.
- Students and Academics: To understand the landscape of cybersecurity jobs and typical remuneration.
Dataset Name Suggestions
- InfoSec Cyber Security Salaries 2020-2022
- Global Cyber Security Compensation
- Cyber Security Career Pay Insights
- Remote Work Cyber Salary Data
- InfoSec Industry Compensation Analysis
Attributes
Original Data Source: Remote Work Cyber Salary Data
QUALITY