Finance Data Analytics ManagerHoneywell Aerospace • Phoenix, Arizona, United States
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Finance Data Analytics Manager
Honeywell Aerospace
- Phoenix, Arizona, United States
- Phoenix, Arizona, United States
Über
Oversee the execution of a comprehensive data strategy for the Aerospace organization, including data collection, storage, and maintenance, to facilitate data-driven decision-making. Utilize statistical and data analysis techniques to extract meaningful insights from aerospace data, providing actionable recommendations to improve efficiency and cost-effectiveness. Collaborate with various teams, including engineering, production, supply chain, and finance, to align analytics with overall business goals and strategies. Identify and implement advanced analytics tools and technologies to support data visualization, reporting, and monitoring of key performance indicators. Drive a culture of continuous improvement by analyzing and optimizing aerospace processes, identifying areas for automation and efficiency gains. Lead a team of analysts, providing mentorship and guidance while fostering a culture of innovation and growth. YOU MUST HAVE
Proven experience in data analytics and data-driven decision-making within a complex business environment. Strong knowledge of data analytics principles, practices, and technologies, including proficiency with data analytics tools and programming languages such as Python, R, and SQL. Experience with data visualization tools such as Tableau or Power BI to create impactful dashboards and reports. Demonstrated ability to lead and mentor analytics teams, driving continuous improvement and innovation. Experience in aerospace or related industrial sectors is highly desirable. WE VALUE
Bachelor’s degree in Data Science, Analytics, Engineering, or a related field. 5+ years of experience in data analytics, preferably in aerospace or manufacturing industries. Strong leadership skills with the ability to influence and coach others effectively. Proven track record of delivering measurable business results through data-driven insights. Knowledge of advanced analytics techniques such as machine learning and predictive modeling. Experience with data governance and data quality initiatives. US PERSONS REQUIREMENT
Due to U.S. export control laws, candidates must be U.S. citizen, U.S. permanent resident, or have protected status under asylum or refugee.
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Sprachkenntnisse
- English
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