SlideShare a Scribd company logo
1 of 8
Hiring Process
Analytics
Surendra Upadhyay
Data Analyst
Project Description
Provided dataset of an MNC company
Data is about about people who registered for a particular post in a department of this company.
As an analyst I required to use my knowledge in statistics and use different formulas in excel and draw
necessary conclusions about the company.
Draw insights out of it for hiring department to work upon.
Attributes of data
application_id
Interview Taken on
 Status event_name
Department
Post Name
 Offered Salary
Approach
• Open data in Excel
• Try to understand the problem and given questions
• Approach to familiar with the attributes and validate given data.
• Create table format and use count if , min, max , avg. and other
statistical formulas.
• Analyzed data by using pivot table and pivot chart.
• Solve the given problems step by step and create interactive
graphs
• Save excel file in csv format and create report for presentation.
Tech-Stack Used
Insights & Result
1. How many males and females are Hired ?
2563
1856
Male Female
2. What is the average salary offered in this
company ?
AVG. SALARY
49983
3. Draw the class intervals for salary in the company ?
salary slab
Sum of Offered
Salary
Count of
Offered Salary
0-49999 92457587 3611
50000-99999 264870782 3553
200000-249999 200000 1
300000-349999 300000 1
350000-400000 400000 1
Grand Total 358228369 7167
4.Draw Pie Chart / Bar Graph ( or any other graph ) to show proportion of people working different
department ?
Row Labels
0%
Finance Department
4%
General Management
3%
Human Resource Department
2%
Marketing Department
4%
Operations Department
39%
Production Department
5%
Purchase Department
5%
Sales Department
10%
Service Department
28%
DEPARTMENT WISE PROPORTION OF HAIRED PEOPLE
5. Represent different post tiers using chart/graph?
308
105
1182
193
1239
151
32
511
337
635
2 1
0
200
400
600
800
1000
1200
1400
b9 c-10 c5 c8 c9 i1 i4 i5 i6 i7 m6 m7 n10 n6 n9
count of Hired As per Post
count of Hired 2 per. Mov. Avg. (count of Hired )
The End
THANK YOU

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Hiring Process Analytics.pptx

  • 2. Project Description Provided dataset of an MNC company Data is about about people who registered for a particular post in a department of this company. As an analyst I required to use my knowledge in statistics and use different formulas in excel and draw necessary conclusions about the company. Draw insights out of it for hiring department to work upon. Attributes of data application_id Interview Taken on  Status event_name Department Post Name  Offered Salary
  • 3. Approach • Open data in Excel • Try to understand the problem and given questions • Approach to familiar with the attributes and validate given data. • Create table format and use count if , min, max , avg. and other statistical formulas. • Analyzed data by using pivot table and pivot chart. • Solve the given problems step by step and create interactive graphs • Save excel file in csv format and create report for presentation.
  • 5. Insights & Result 1. How many males and females are Hired ? 2563 1856 Male Female 2. What is the average salary offered in this company ? AVG. SALARY 49983 3. Draw the class intervals for salary in the company ? salary slab Sum of Offered Salary Count of Offered Salary 0-49999 92457587 3611 50000-99999 264870782 3553 200000-249999 200000 1 300000-349999 300000 1 350000-400000 400000 1 Grand Total 358228369 7167
  • 6. 4.Draw Pie Chart / Bar Graph ( or any other graph ) to show proportion of people working different department ? Row Labels 0% Finance Department 4% General Management 3% Human Resource Department 2% Marketing Department 4% Operations Department 39% Production Department 5% Purchase Department 5% Sales Department 10% Service Department 28% DEPARTMENT WISE PROPORTION OF HAIRED PEOPLE
  • 7. 5. Represent different post tiers using chart/graph? 308 105 1182 193 1239 151 32 511 337 635 2 1 0 200 400 600 800 1000 1200 1400 b9 c-10 c5 c8 c9 i1 i4 i5 i6 i7 m6 m7 n10 n6 n9 count of Hired As per Post count of Hired 2 per. Mov. Avg. (count of Hired )