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62,000 S/.

Median Base Salary

How much does a Evaluator make in Perú ?

The base salary for a Evaluator in Perú is 62,000 S/.. Also known as: Assessor, Appraiser, Inspector, Scrutinizer, Judge, Reviewer, Critic.
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62,000 S/.

Median Base Salary (percentile 50th)

61 observations

Good Confidence

12,800 S/. Bonus per year

34,000 S/. of Stock

Base salary varies with experience. Register at TalentUp.io platform to learn about associated salaries based on seniority and percentiles. (Updated: Jan. 8, 2024)

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39600.0 S/.

Min salary

80400.0 S/.

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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