Posting record
Open 9+ days
- Zealgroup's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Zealgroup, so its true age is longer.
Last checked Nov 1, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 1–3 years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Key Responsibilities
1. Customer Service Performance Monitoring (KPI)
- Track and analyze key Customer Service KPIs such as CSAT, response time, handling time, and resolution rate
- Develop and maintain dashboards and reports to provide clear performance visibility
- Identify performance gaps and recommend actionable improvements
2. Data Analysis & Insights
- Analyze data across Customer Service, Operations, and Payment teams to identify trends, issues, and opportunities
- Provide insights to improve service quality, operational efficiency, and customer satisfaction
- Support regular reporting (weekly/monthly) and business reviews
3. System Usage & Process Optimization
- Monitor the usage and effectiveness of CS tools (e.g., ticketing systems, CRM platforms, chatbot solutions)
- Ensure proper system adoption and highlight gaps in usage or workflow inefficiencies
- Recommend enhancements to processes and system workflows
4. AI & Automation Support
- Track and evaluate chatbot performance (e.g., resolution rate, fallback scenarios)
- Identify opportunities to reduce manual workload through automation•
- Collaborate with Tech teams to improve AI tools using data-driven insights
5. Cross-functional Collaboration
- Work closely with CX, Product, and Technology teams to support business initiatives
- Assist with ad hoc data analysis and reporting requests as required
Requirements
Requirements
- Diploma or Degree in Data Analytics, Business, IT, or related fields
- 1–3 years of experience in data analysis, reporting, or similar roles (experience in Customer Service environment is an advantage)
- Strong proficiency in Excel or Google Sheets (e.g., formulas, pivot tables)
- Basic knowledge of SQL is preferred
- Experience with data visualization tools (e.g., Power BI, Tableau) is a plus
- Strong analytical thinking, problem-solving, and communication skills
Benefits
What we can offer you
- Life Insurances
- Team Building
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