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Performance and Data Analysis Manager
2 months ago
- Lead the centralization and
standardization of global reports, ensuring accuracy and
consistency across all outputs. - Act as a business partner for the
management team, provide data-driven insights into the development of
Kuehne Nagel Global Services and areas of opportunities. - Consult and guide business leaders on use
of existing and new data tools to effectively steer the business and
support innovation. - Maintain and enhance the reporting
framework, focusing on analytics and anticipating the evolving needs of
the business. - Leverage data-driven workforce management
tool to provide deeper insights into team management. - Enhance the existing MIS performance
structure. - Proactively monitor and communicate key
performance metrics, ensuring alignment and transparency across
departments. - Lead the execution of the data quality
analysis project across all GS locations. - Prepare data-driven insights for senior
management, suggesting process improvements. - Manage day-to-day operations, focusing on
innovative ways to improve efficiency and streamline workflows. - Develop and implement tools for task
measurement, boosting workflow efficiency and effectiveness. - Keep performance dashboards up to date
while continuously exploring new ways to innovate and add value. - Mentor and train new team members,
fostering a culture of proactivity and creative problem-solving. - Analize performance data to identify
trends and proactively address issues with innovative corrective
actions. - Support team growth by evaluating
productivity, providing constructive feedback, and encouraging
continuous development.
- Bachelor's Degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, Economics, or a related discipline
- Minimum of 3 years of relevant experience in data analysis, data management, or a related field.
- Proven experience in managing and leading teams and processes within a data-driven environment.
- Proficiency in MS Office programs and experience with data visualization tools
- Excellent command of English
- Strong analytical skills
- Strong communication and organizational skills
- Individual motivation with a passion for data and continuous learning.
- Flexibility in working hours
- Willingness to travel internationally