Predictive Analytics Pune Salaries
41 verified profilesAverage salary is ₹23.0lakhs.
Employees who know Predictive Analytics in Pune earn an average of ₹23.0lakhs, mostly ranging from ₹17.1lakhs to ₹55.6lakhs based on 41 profiles.
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How much do Predictive Analytics Pune employees make?
Employees who know Predictive Analytics in Pune earn an average of ₹23.0lakhs, mostly ranging from ₹17.1lakhs per year to ₹55.6lakhs per year based on 41 profiles. The top 10% of employees earn more than ₹33.4lakhs per year.
What is the average salary of Predictive Analytics Pune?
Average salary of an employee who know Predictive Analytics in Pune is ₹23.0lakhs.
What is the highest salary offered who know Predictive Analytics in Pune?
Highest reported salary offered who know Predictive Analytics in Pune is ₹60.6lakhs. The top 10% of employees earn more than ₹33.4lakhs per year. The top 1% earn more than a whopping ₹55.6lakhs per year.
What are the most common skills required who know Predictive Analytics in Pune?
100% of employees have skills in predictive analytics . 0% also know machine learning . 0% also know python .
What are the highest paying jobs who know Predictive Analytics in Pune?
The top 5 highest paying jobs who know Predictive Analytics in Pune with reported salaries are:
vice president - ₹43.0lakhs per year
specialist - ₹26.0lakhs per year
associate consultant - ₹23.0lakhs per year
data scientist - ₹19.0lakhs per year
What is the median salary offered who know Predictive Analytics in Pune?
The median salary approximately calculated from salary profiles measured so far is ₹20.8lakhs per year.
How is the age distributed among employees who know Predictive Analytics in Pune?
32% of employees lie between 26-31 yrs . 22% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Predictive Analytics in Pune?
2% hold a Graduate degree.
Which schools do employees working who know Predictive Analytics in Pune went to?
7% of employees studied at Great Lakes Institute of Management (GLIM) . 7% studied at International Institute of Information Technology (IIIT) .
How much do Predictive Analytics Pune employees make?
Employees who know Predictive Analytics in Pune earn an average of ₹23.0lakhs, mostly ranging from ₹17.1lakhs per year to ₹55.6lakhs per year based on 41 profiles. The top 10% of employees earn more than ₹33.4lakhs per year.
What is the average salary of Predictive Analytics Pune?
Average salary of an employee who know Predictive Analytics in Pune is ₹23.0lakhs.
What is the highest salary offered who know Predictive Analytics in Pune?
Highest reported salary offered who know Predictive Analytics in Pune is ₹60.6lakhs. The top 10% of employees earn more than ₹33.4lakhs per year. The top 1% earn more than a whopping ₹55.6lakhs per year.
What are the most common skills required who know Predictive Analytics in Pune?
100% of employees have skills in predictive analytics . 0% also know machine learning . 0% also know python .
What are the highest paying jobs who know Predictive Analytics in Pune?
The top 5 highest paying jobs who know Predictive Analytics in Pune with reported salaries are:
vice president - ₹43.0lakhs per year
specialist - ₹26.0lakhs per year
associate consultant - ₹23.0lakhs per year
data scientist - ₹19.0lakhs per year
What is the median salary offered who know Predictive Analytics in Pune?
The median salary approximately calculated from salary profiles measured so far is ₹20.8lakhs per year.
How is the age distributed among employees who know Predictive Analytics in Pune?
32% of employees lie between 26-31 yrs . 22% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Predictive Analytics in Pune?
2% hold a Graduate degree.
Which schools do employees working who know Predictive Analytics in Pune went to?
7% of employees studied at Great Lakes Institute of Management (GLIM) . 7% studied at International Institute of Information Technology (IIIT) .
- 10-20 lakhs
- 20-30 lakhs
- 30-40 lakhs
- 40-50 lakhs
- > 50 lakhs
- 21-26 yrs
- 26-31 yrs
- 31-36 yrs
- 36-41 yrs
- > 41 yrs
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