Smiths Detection Salaries in New York
How much do people at Smiths Detection in New York get paid? See the latest salaries by department and job title. In New York, the average estimated annual salary, including base and bonus, at Smiths Detection is $120,703, or $58 per hour, while the estimated median salary is $110,759, or $53 per hour.
At Smiths Detection's New York office, the highest paid job is a Corporate Counsel at $235,295 annually and the lowest is an Admin Assistant at $45,102 annually. Average Smiths Detection salaries by department include: Admin at $51,702, Marketing at $92,324, HR at $169,579, and Legal at $124,584. Half of Smiths Detection salaries are above $110,759.
9 employees at Smiths Detection rank their Compensation in the Top 5% of similar sized companies on Comparably (based on 29 ratings) while 9 employees at Smiths Detection rank their Perks And Benefits in the Top 5% of similar sized companies on Comparably (based on 10 ratings).
Salaries contributed from Smiths Detection employees include job titles like Executive Assistant, Director of IT, and IT Manager. Comparably data has a total of 2 salary records from Smiths Detection employees.
Last updated months ago.
* Estimated salaries Estimated salaries are based on data provided anonymously by employees and/or estimated by other statistical methods.
Smiths Detection Salary Averages By Department
Recent Smiths Detection Salaries Anonymously Contributed
Smiths Detection Salaries By Department (13)
Product Department (5)
Engineering Department (14)
Marketing Department (15)
Design Department (9)
Operations Department (4)
Admin Department (2)
Business Development Department (3)
Finance Department (5)
Customer Support Department (3)
HR Department (3)
IT Department (6)
Legal Department (3)
Sales Department (5)
† Employer contributed salary* Estimated salaries Estimated salaries are based on data provided anonymously by employees and/or estimated by other statistical methods.
of similar sized companies on Comparably
of similar sized companies on Comparably
