storage domain attrition trends
DESCRIPTION
Talent Neuron discusses about Hiring Trends and Attrition Trends in Bangalore and San Francisco, Bay AreaTRANSCRIPT
Storage Domain - Attrition Trend Comparison Report (Executive Summary)
October 2013
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1 Definition
2 Attrition Trends
3 Hiring Trends
(Available in Full Report)
4 Conclusion
(Available in Full Report)
Topics Covered in the report
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Talent Neuron has studied attrition trends across 2 global cities
Percentile:
Number (value) that represents a percentage position in a list (range) of data. For example, if the performance of an entity is at 43rd percentile, then it performs better than 43 % of all entities within its group. P10: 10th Percentile P75:75th Percentile
P25: 25th Percentile P50: Median/50th Percentile P90: 90th Percentile
Voluntary and Involuntary Definitions:
Voluntary Attrition: Employee turnover on his or her own accord in order to pursue other opportunities or for personal reasons.
Involuntary Attrition: Employee termination for poor job performance, absenteeism or violation of workplace policies. This is also known as forced attrition.
Definition
3 Cities
1. Bangalore
2. San Francisco Bay Area
Software Product Development Focus
Jan – July 2013
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Bangalore closely followed by SF Bay Area has the highest attrition among the 2 cities
Source: Interview with product company HR leaders, BLS, Talent Neuron profile sample analysis
Attrition Rates: Bangalore, SF Bay Area (July 2012 – June 2013)
Attrition Trends
Att
riti
on
Rat
e (%
)
10%
9%
0%
2%
4%
6%
8%
10%
12%
14%
16%
Bangalore SF Bay Area
14%
12%
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Bangalore has voluntary attrition of about ~ 10%
Attrition Trends
10.0% 8.0%
4%
4%
Bangalore SF Bay Area
Voluntary Attrition In-Voluntary Attrition
Source: Interview with product company HR leaders, BLS, Talent Neuron profile sample analysis
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Key Reasons of Attrition by Location
Attrition Trends
Startups:
Developers in the Bay Area work in large teams where their jobs are not challenging and often unsatisfactory on a personal level. Hence many developers chose to move to start-ups to add more value to their jobs.
Compensation Disparity:
In the Bay Area, companies like Google, Facebook and other high growth start-ups (Dropbox, Box) often hire talent at inflated salaries. Thus employees often find moving to a new company financially more beneficial than internal growth.
Lack of Ownership:
In Bangalore, the software developers seldom work on product ownership model.
Demand Supply Gap:
Large MNC companies are hiring for key positions and are focused on targeted hiring. This creates demand for good technical talent. A good technical talent in Bangalore will have multiple offers
Start-ups:
Start-up ecosystem in India is improving. Key leaders across technology and management are now joining start-ups for equity and higher compensation (Also ownership)
SF Bay Area Bangalore
Source: Interviews with HR experts, Literature search on retention measures, Talent Neuron expert comments
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Attrition for Storage systems job family is slightly higher than the industry average
Source: Interviews with HR experts, Literature search on Attrition calculation methodologies prevalent in the industry, Talent Neuron expert comments
Attrition Trends
Indicates that Attrition is higher than the industry average
Indicates that the attrition is the same as the industry average
Indicates that attrition is less than the industry average
Platform 2-4 Years 4-7 Years 7-10 Years 10+ Years
Bay Area
Software Protocols
Storage Systems
Hardware Skills
Bangalore
Software Protocols
Storage Systems
Hardware Skills
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