Annual salary range
Select experience
₹2.3
Lakhs - ₹2.9
Lakhs
Low Confidence 
Low confidence means that this average salary is based on data that was reported by very few people.
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Companies similar to Soft Polynomials for SBU Head in Nagpur
Soft Polynomials
SBU Head Salary
10 years exp. (AmbitionBox Estimate) |  ₹2.3 L/yr - ₹2.9 L/yr |
vs
| Company name | Avg Annual Salary | Open Jobs |
|---|---|---|
 Iffco Tokio General Insurance Co. SBU Head Salary
12 - 15 years exp. (4 salaries) |  ₹7 L/yr - ₹17.7 L/yr 
460%
more | |
SBU Head salary at Soft Polynomials ranges between ₹2.3
Lakhs
to ₹2.9
Lakhs
per year for employees with 10 years of experience. Salary
estimates are based on
1 latest salaries received
from various employees of Soft Polynomials.
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2w
an architect
Help me choose New Regime or Old Regime for my salary revision
Hi I am working as a full stack Architect (14 yeo) and Following is my CTC.
Please help me calculate in hand salary and choose New or OLD regime. I have been doing Old regime till last year with a salary of 48 CTC. Now post revision it increased to 56L CTC effective March 1st.
My PF alone will cover 80C
Also have additional 50000 contribution in NPS
My HRA is around 25K per month (300000)
Health insurance for family 28000
Mom's medical expense 30000 (No personal (Have medical complications) or corporate insurance unfortunately)
I have a home loan however its under construction, so not eligible yet for tax benefits
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Soft Polynomials SBU Head Salary FAQs
How the salary growth look like for a SBU Head at Soft Polynomials in Nagpur?
The salary growth for a SBU Head at Soft Polynomials in Nagpur depends on factors such as experience, performance, and promotions. On average, a SBU Head in Nagpur can expect the following growth trajectory at Soft Polynomials:
and so on.
| Experience | Average Salary Range |
|---|---|
| 10 years | ₹2.3 Lakhs to ₹2.9 Lakhs per year |
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- Soft Polynomials SBU Head Salaries in Nagpur
Soft Polynomials SBU Head salary in Nagpur ranges between ₹2.3 Lakhs to ₹2.9 Lakhs. This is an estimate based on latest salaries received from employees of Soft Polynomials.