Data Specialist, Operations Services

Restaurant365; United States; On-site; USD 65,000 - 90,000; Full time

Job summary

Restaurant365 is seeking an Operations Data Specialist to validate, update, and quality-check information across recurring workstreams and project-based assignments. The role emphasizes clear communication with internal partners and executive stakeholders, meeting timelines, and proactive issue identification.

You will apply AI tools and automation to improve quality and scale, requiring strong attention to detail, adaptability, and a continuous-improvement mindset.

Responsibilities

• Validate, update, and quality-check information across recurring workstreams and project-based assignments.
• Communicate progress clearly with internal partners and external executive-level brand stakeholders, meeting agreed timelines.
• Identify questions or potential issues proactively to maintain accuracy and efficiency.
• Leverage AI tools and automation to improve quality and scale across workflows.

Job description

Restaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” ... and we want that for you too!

As an Operations Data Specialist, you will perform detail-oriented, structured work that supports accurate and efficient client and business operations. The role involves validating, updating, and quality-checking information across recurring workstreams and project-based assignments. Specialists are expected to manage a steady volume of tasks, follow defined processes, and document their work. Additional responsibilities include communicating progress clearly with internal partners and external executive-level brand stakeholders, meeting agreed timelines, and identifying questions or potential issues proactively. Success requires strong attention to detail, sound judgment, comfort working with complex information, adaptability, and a continuous-improvement mindset, including the practical use of AI tools and automations to improve quality and scale.