Analytics Project Coordinator Intern

In this role, you will impact the successful delivery of analytics projects by coordinating cross-functional teams, maintaining project documentation, and facilitating communication among stakeholders to drive timely and effective project execution Responsibilities

• Support the planning, execution, and tracking of analytics and data science projects to ensure timely delivery.
• Maintain up-to-date project documentation, including timelines, risks, issues, and action items.
• Coordinate communication between project stakeholders to ensure alignment and visibility into project status.
• Identify and escalate risks and blockers to appropriate teams for resolution.
• Utilize Jira to manage project tasks and workflows effectively.

Qualifications

• Knowledge of project coordination principles and practices, preferably in analytics or data science environments.
• Proficiency in Jira for project tracking and task management.
• Basic understanding of analytics and data science concepts.
• Strong organizational skills with attention to detail.
• Ability to manage multiple tasks and prioritize effectively.
• Bachelor’s degree Student in Business, Analytics, Data Science, or related field preferred.
• Entry-level experience or internships in project coordination or analytics support roles.
• Familiarity with data visualization tools and SQL is a plus.
• Strong problem-solving skills and ability to work collaboratively in a team environment.

About Us Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.