I was a Quality Analyst for Customer Service, specializing in
In addition to my customer service background, I have received training in Real Estate, equipping me with skills in Lead Generation and Transaction Coordination. I am highly adaptable, detail-oriented, and skilled at multitasking, communication, and research.
Proficient Systems/Applications:
OMS
Basecamp
Google Sheets/Docs/Slides/Forms
Helpscout
Zendesk
Ring Central
Slack
Canva (image editing, logo/banner creation)
Excel
PowerPoint
Calendly
Drupal
Asana
As a Quality Analyst, my core responsibilities include:
Monitoring
Analyzing trends and compiling performance data for management
Providing constructive feedback and coaching to customer service agents
Facilitating refresher courses and skill-building sessions
Supporting internal teams with actionable insights from quality monitoring
Previous Experience: With over 7 years in customer service, I have extensive expertise in
Sales and Billing for U.S.-based Student Loans
Sales and Billing Consultant for Telstra (Australia)
Home and Car Insurance Specialist (Australia)
I was also a Virtual Assistant for an online educational platform that offers a variety of courses, events, and summits focused on personal growth, wellness, and spiritual development.
Responsibilities:
Scheduling Courses and Certifications
Primarily supports the Course and Program Managers
Reach out to speakers and hosts about Tech Check and Availabilities
Creates Calendly for hosts so speakers can book their session recordings
Records data accurately on spreadsheets and faculty databases
Sends and replies to numerous
Unique Personal Traits:
My analytical nature is symbolized by my spirit animal, the owl.
I aspire to become a lawyer, and I enjoy watching Law and Crime documentaries.
Family is my greatest source of inspiration.
“They are definitely a valuable part of your business for all kinds of reasons.”
- Steven Rapposelli
Onlinejobs.ph "ID Proof" indicates if "they are who they say they are".
It DOES NOT indicate skill level.
ID Proof scores are 0 - 99 with 99 being the best. It is calculated based on dozens of data points.
It's intended to help employers know who they're talking to is real, and not a fake identity.