295,500 kr

Median Base Salary

How much does a Evaluator make in Linköping ?

The base salary for a Evaluator in Linköping is 295,500 kr. Also known as: Assessor, Appraiser, Inspector, Scrutinizer, Judge, Reviewer, Critic.
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295,500 kr

Median Base Salary (percentile 50th)

61 observations

Excellent Confidence

72,300 kr Bonus per year

100,600 kr of Stock

Base salary varies with experience. Register at TalentUp.io platform to learn about associated salaries based on seniority and percentiles. (Updated: Oct. 9, 2024)

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251500.0 kr

Min salary

663400.0 kr

Max salary

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Carles Font

CEO and Partner | Q-tech

Responsibilities: • Evaluating and analyzing data to measure the performance of various aspects of the organization. • Developing and implementing evaluation methodologies and assessment criteria. • Preparing detailed reports with the results of evaluations, including recommendations for improvement. • Collaborating with team members and stakeholders to ensure the evaluation process is understood and followed. • Maintaining a comprehensive understanding of the organization's goals and objectives to ensure evaluations are aligned. • Identifying potential areas of improvement and suggesting changes based on evaluation findings. • Conducting regular follow-ups to track the effect of implemented changes. Requirements: • Bachelor's degree in Business Management, Statistics, or a related field. • Proven experience in a similar role would be advantageous. • Strong analytical and problem-solving skills. • Excellent written and verbal communication skills. • Ability to work independently and as part of a team. • Exceptional attention to detail. • Proficient in Microsoft Office Suite, particularly Excel for data analysis. Preferred Skills: • Strong time management and organizational skills. • Ability to handle multiple tasks and meet deadlines. • Comfortable presenting findings and recommendations to stakeholders. • Excellent interpersonal skills for effective collaboration. • Ability to adapt to changing priorities and requirements. • High level of integrity and professionalism. • Familiarity with statistical analysis tools and techniques.,

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