Otis Elevator Co. is the world’s leading elevator and escalator manufacturing company, dedicated to innovation and customer satisfaction. They are seeking a Data Product Analyst Intern who will transform data into insights to drive product development and support business strategies, while collaborating with various teams and enhancing their data analytics skills.
Responsibilities
Conduct deep-dive analyses to extract insights from complex datasets.
Collaborate with product managers and engineers to define requirements for data products.
Work with various teams to understand their data needs and present findings that support their objectives.
Participate in the ongoing refinement of data products, ensuring they meet user needs and adapt to changing business conditions.
Examine datasets to identify trends and extract insights using data analysis tools.
Participate in meetings to discuss project updates and align on data-driven solutions.
Contribute to designing and developing data products, ensuring they meet user needs.
Create and refine visual reports to effectively communicate insights to stakeholders.
Enhance skills through eLearning platforms and shadowing experienced analysts.
Incorporate feedback to improve data products and processes for better outcomes.
Record analysis processes and product development progress for future reference and sharing.
Qualification
Required
Currently enrolled in a Bachelor’s or Master’s program in a relevant field such as Data Science, Computer Science, Information Systems, Statistics, Business Analytics, or a related discipline.
Good academic standing, demonstrating a strong foundation in quantitative and analytical coursework.
Ability to examine data sets, identify patterns, and draw meaningful insights.
Familiarity with data analysis tools and software, such as Excel, SQL, or Python.
Ability to effectively present findings and collaborate with team members and stakeholders.
Strong aptitude for identifying issues and developing data-driven solutions.
Keen eye for accuracy and quality in data analysis and reporting.
Eagerness to learn new tools, techniques, and industry trends.
Willingness to collaborate and contribute positively to team dynamics.
Preferred
Benefits
Employee Scholar Program
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