Data Operations Manager

Reeco

3d

About The Position

Welcome to Reeco, where we’re transforming the back-of-house tech for the hospitality industry. Think of it like this: while hotels are all about luxury and convenience, their operations are often stuck in the ‘90s. From emailing suppliers to doing inventory with pen and paper – it’s outdated, inefficient, and expensive. That’s where we come in! With the power of AI, we help streamline operations for top brands like Hilton, Marriott, Hyatt, and IHG, so they can focus on what really matters – delivering amazing guest experiences while keeping everything running like clockwork. Why Reeco At Reeco, we live by our core values, which we call Heartt: Humility, Excellence, Ambition, Respect, Transparency, and Trust. We believe that by putting both heart and mind into everything we do, we can transform the hospitality industry. We’re on a mission to provide simple, powerful solutions for our customers with the same dedication they put into serving their guests.

Requirements

• 2+ years of experience in data operations, business operations, analytics support, or similar hands-on roles
• Proactive by nature — you don’t just execute tasks, you improve how things are done
• Detail-oriented and comfortable working deeply with large amounts of data
• Strong organizational thinker who enjoys creating order and structure
• Able to take a project from idea to completion
• Clear communicator who documents processes and explains decisions well
• Strong Excel / SQL skills
• Comfortable working with large datasets and repetitive data tasks when needed
• Basic Python Skills
• Experience with no-code/automation tools
• Understanding of ML trends and experience leveraging AI tools to support operational workflows
• Familiarity with data validation, cleaning, or quality control processes

Responsibilities

• Own day-to-day data operations for a core business data domain, ensuring information is accurate, structured, and reliable
• Organize and maintain large datasets, improving consistency, completeness, and usability
• Use AI tools to streamline classification, validation, and quality assurance.
• Initiate and lead improvement projects that increase data quality and team efficiency
• Collaborate with Product, CX, and other stakeholders to support data-related initiatives
• Translate business needs into structured data processes

Benefits

• Join a high-impact team at a pivotal stage of growth.
• Work with modern tools and be empowered to innovate.
• Meaningful ownership and the ability to shape processes from the ground up.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed