Economy, Finance, Accountancy

Data analyst

Gross salary in Swaziland is

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80% of people earn:

6,764 - 18,463 SZL

10% earn less lthan 6,764 SZL

10% earns more than 18,463 SZL

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What does the data in the graph mean?

Salaries in the survey are expressed in gross.

Based on the Paylab.com salary survey, 80% of people on the Data analyst position in the Swaziland earn between 6,764 SZL and 18,463 SZL monthly gross.

10% of employees earn less than 6,764 SZL and 10% of people earn more than 18,463 SZL.

The survey is based on data from employees, cleaned of extreme and duplicate values. By taking a free, anonymous survey, you will get a more accurate salary comparison with other people working in the same position as you.

Description of job position

Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities

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The most common career path of an employee

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Position Data analyst - Economy, Finance, Accountancy in the labour market

In the salary ranking,
the job position takes

174. place

Women representation in position

n/a

Average age of respondent by position

n/a

769. place

Seller / Cashier

Commerce

175. place

Medical/Pharmaceutical Sales Representative

Medicine & Social Care

7,731 - 17,126 SZL

174. place

Data analyst

Economy, Finance, Accountancy

6,764 - 18,463 SZL

173. place

Private Banker

Banking

7,235 - 17,836 SZL

1. place

Chief Executive Officer

Top Management

13,884 - 62,761 SZL

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What does a salary report contain?

Salary for the position by region, education, experience, company size, age
Distribution of respondents into wage bands
Salary range from 1st to 9th decile
A breakdown of all monitored non-financial benefits
Analysis of financial benefits

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