Digital Technology Data Product Analyst Intern

Overview

Analyze data, develop dashboards, and support product decisions as a Data Product Analyst Intern.

Key Responsibilities

• data analysis
• product development
• stakeholder engagement
• data visualization
• documentation
• feedback iteration

Tasks

-Feedback and Iteration: Incorporate feedback to improve data products and processes for better outcomes. -Product Development: Collaborate with product managers and engineers to define requirements for data products. You'll contribute to creating intuitive and impactful dashboards and tools. -Stakeholder Engagement: Work with various teams to understand their data needs and present findings that support their objectives. You'll communicate insights clearly and effectively. -Continuous Improvement: Participate in the ongoing refinement of data products, ensuring they meet user needs and adapt to changing business conditions. -Explore and Analyze: Examine datasets to identify trends and extract insights using data analysis tools. -Collaborate: Participate in meetings to discuss project updates and align on data-driven solutions. -Data Visualization: Create and refine visual reports to effectively communicate insights to stakeholders. -Documentation: Record analysis processes and product development progress for future reference and sharing. -Data Analysis: Conduct deep-dive analyses to extract insights from complex datasets. You'll use statistical methods and data visualization techniques to interpret data effectively. -Learning and Development: Enhance skills through eLearning platforms and shadowing experienced analysts. -Develop Data Product Development: Contribute to designing and developing data products, ensuring they meet user needs.

Requirements

• excel
• sql
• python
• data analysis
• degree
• problem solving

What You Bring

-Curiosity and Learning Mindset: Eagerness to learn new tools, techniques, and industry trends. -Attention to Detail: Keen eye for accuracy and quality in data analysis and reporting. -Communication Skills: Ability to effectively present findings and collaborate with team members and stakeholders. -Academic Standing: Good academic standing, demonstrating a strong foundation in quantitative and analytical coursework. -Analytical Skills: Ability to examine data sets, identify patterns, and draw meaningful insights. -Technical Proficiency: Familiarity with data analysis tools and software, such as Excel, SQL, or Python. -Problem-Solving Ability: Strong aptitude for identifying issues and developing data-driven solutions. -Pursuing a Degree 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.

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Benefits

-Learning & Development: You'll have the opportunity to learn new tools and technologies, stay updated on industry trends, and develop your skills in data analytics.

About Otis Elevator Co.

-Pioneered the first passenger elevator, revolutionizing urban transportation. -Serves a wide range of sectors, including residential, commercial, and infrastructure projects. -Their work can be seen in iconic structures like the Burj Khalifa. -Focuses on safety, efficiency, and sustainability in urban spaces. -Advanced smart elevator systems enhance user experience and energy efficiency.

Sector Specialisms