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Average netto salary for this position in Lithuania is
1,200
1,400
1,600
1,800
2,000
2,200
2,400
2,600
 
10% earn less 1,077 EUR
10% earns more 2,662 EUR
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Displayed value presents basic salary in the whole country. Salary amount is influenced by bonuses, regions and many other factors. Salaries are recalculated by official conversion rate 1 Eur = 3,4528 LTL.

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

Women representation in position

Average age of respondent by position

662. place

Porter, Information Staff

General labour

Salary group 1

570 - 1,245 EUR

227. place

Industrial Climber

Construction & Real Estate

Salary group 2

1,066 - 2,961 EUR

226. place

Data analyst

Economy, Finance, Accountancy

Salary group 2

1,077 - 2,662 EUR

225. place

Mechanical Engineer

Mechanical Engineering

Salary group 2

1,035 - 3,032 EUR

1. place

Leasing Director

Leasing

Salary group 3

2,127 - 7,791 EUR

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  • Salary on position by region*, education, practice, business size
  • Total salary and its components* (variable component, commissions, rewards)
  • Responder distribution to payroll
  • Salary ranges expressed by 1st decile, 1st quartile, median, 3rd quartile, 9th decile, and average wage.
  • Detailed breakdown of all monitored non-financial benefits provided*
  • Financial benefit analysis*
  • * available when regression model is used