Data Dictionary Salaries
40 verified profilesAverage salary is ₹18.5lakhs.
Employees who know Data Dictionary earn an average of ₹18.5lakhs, mostly ranging from ₹15.9lakhs to ₹33.6lakhs based on 40 profiles.
👨💻 Male | ₹18lakhs Male Average Salary : ₹ 18 lakhs |
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👩💻 Female | ₹17lakhs Female Average Salary : ₹ 17 lakhs |
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How much do Data Dictionary employees make?
Employees who know Data Dictionary earn an average of ₹18.5lakhs, mostly ranging from ₹15.9lakhs per year to ₹33.6lakhs per year based on 40 profiles. The top 10% of employees earn more than ₹28.0lakhs per year.
What is the average salary of Data Dictionary?
Average salary of an employee who know Data Dictionary is ₹18.5lakhs.
What is the highest salary offered who know Data Dictionary?
Highest reported salary offered who know Data Dictionary is ₹34.0lakhs. The top 10% of employees earn more than ₹28.0lakhs per year. The top 1% earn more than a whopping ₹33.6lakhs per year.
What are the most common skills required who know Data Dictionary?
100% of employees have skills in data dictionary . 0% also know user exits . 0% also know alv .
What are the highest paying jobs who know Data Dictionary?
The top 5 highest paying jobs who know Data Dictionary with reported salaries are:
associate manager - ₹18.0lakhs per year
sap abap consultant - ₹18.0lakhs per year
senior consultant - ₹17.0lakhs per year
project manager - ₹16.0lakhs per year
senior software engineer - ₹13.0lakhs per year
Which are the top locations?
What is the median salary offered who know Data Dictionary?
The median salary approximately calculated from salary profiles measured so far is ₹16.8lakhs per year.
How is the age distributed among employees who know Data Dictionary?
45% of employees lie between 31-36 yrs . 40% of the employees fall in the age group of 26-31 yrs .
What qualifications do employees have who know Data Dictionary?
38% of employees have a Graduate degree. 27% hold a PostGraduate degree.
Which schools do employees working who know Data Dictionary went to?
8% of employees studied at Jawaharlal Nehru Technological University (JNTU) . 8% studied at Kurukshetra University .
How much do Data Dictionary employees make?
Employees who know Data Dictionary earn an average of ₹18.5lakhs, mostly ranging from ₹15.9lakhs per year to ₹33.6lakhs per year based on 40 profiles. The top 10% of employees earn more than ₹28.0lakhs per year.
What is the average salary of Data Dictionary?
Average salary of an employee who know Data Dictionary is ₹18.5lakhs.
What is the highest salary offered who know Data Dictionary?
Highest reported salary offered who know Data Dictionary is ₹34.0lakhs. The top 10% of employees earn more than ₹28.0lakhs per year. The top 1% earn more than a whopping ₹33.6lakhs per year.
What are the most common skills required who know Data Dictionary?
100% of employees have skills in data dictionary . 0% also know user exits . 0% also know alv .
What are the highest paying jobs who know Data Dictionary?
The top 5 highest paying jobs who know Data Dictionary with reported salaries are:
associate manager - ₹18.0lakhs per year
sap abap consultant - ₹18.0lakhs per year
senior consultant - ₹17.0lakhs per year
project manager - ₹16.0lakhs per year
senior software engineer - ₹13.0lakhs per year
Which are the top locations?
What is the median salary offered who know Data Dictionary?
The median salary approximately calculated from salary profiles measured so far is ₹16.8lakhs per year.
How is the age distributed among employees who know Data Dictionary?
45% of employees lie between 31-36 yrs . 40% of the employees fall in the age group of 26-31 yrs .
What qualifications do employees have who know Data Dictionary?
38% of employees have a Graduate degree. 27% hold a PostGraduate degree.
Which schools do employees working who know Data Dictionary went to?
8% of employees studied at Jawaharlal Nehru Technological University (JNTU) . 8% studied at Kurukshetra University .
10-20 lakhs | 10-20 lakhs Percentage : 73 |
---|---|
20-30 lakhs | 20-30 lakhs Percentage : 20 |
30-40 lakhs | 30-40 lakhs Percentage : 8 |
26-31 yrs | 26-31 yrs Percentage : 40 |
---|---|
31-36 yrs | 31-36 yrs Percentage : 45 |
36-41 yrs | 36-41 yrs Percentage : 13 |
> 41 yrs | > 41 yrs Percentage : 3 |