Job Description
We are seeking a dedicated Weekend Operations Associate to join our high-performing team in Orlando, Florida. This is a Direct Hire position designed for self-motivated professionals who thrive in a fast-paced environment and value stability. As a key member of our support team, you will play a crucial role in maintaining our service excellence standards during off-hours. If you are looking for a career opportunity that offers competitive compensation, comprehensive benefits, and the flexibility of weekend-only work, apply today.
Why Join Us?
- Direct Hire Opportunity: No temporary staffing agencies, just a permanent career path.
- Weekend Flexibility: Enjoy your weekdays free while we handle the weekend operations.
- Competitive Pay: Earn between $22.00 and $28.00 per hour based on experience.
- Comprehensive Benefits: Medical, dental, vision, and 401(k) matching.
Responsibilities
- Execute daily operational workflows and procedures during weekend shifts.
- Manage and resolve incoming customer inquiries and service tickets with high accuracy and speed.
- Collaborate with the Monday-Friday support team to ensure seamless service continuity and knowledge sharing.
- Maintain accurate records of all client interactions, transactions, and operational logs.
- Identify potential process bottlenecks and propose solutions to improve weekend efficiency.
- Perform routine data entry and system updates to ensure database integrity.
- Adhere to all company policies, safety protocols, and quality assurance standards.
Qualifications
- High school diploma or GED required; Associate’s degree in Business or related field preferred.
- Mandatory Availability: Must be available to work weekends (Saturday and Sunday) on a consistent basis.
- Strong verbal and written communication skills with a focus on customer service.
- Proficiency in Microsoft Office Suite (Excel, Outlook, Word) and experience with CRM software (e.g., Salesforce, Zendesk).
- Proven ability to work independently and make sound decisions with minimal supervision.
- Detail-oriented approach with a commitment to data accuracy and quality.