Posting record
Open 10+ days
- Renmoney'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 Renmoney, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat 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
Data Analysis & Reporting
- Analyze card portfolio data to identify trends, patterns, and performance insights
- Prepare regular reports on key metrics such as transaction volumes, spend, and card usage
- Support ad-hoc data requests from business teams
Dashboard Development & Maintenance
- Develop and maintain dashboards using tools such as Power BI or similar platforms
- Ensure data accuracy, consistency, and integrity across reporting outputs
- Automate recurring reports where possible
Performance Monitoring
- Track key performance indicators including card issuance, activation, utilization, and revenue
- Highlight variances, anomalies, and areas requiring attention
- Support ongoing monitoring of business performance
Customer & Transaction Analysis
- Analyze customer behavior and transaction patterns
- Provide insights to support business decisions and operational improvements
Data Management Support
- Work with internal teams to ensure proper data capture and quality
- Assist in structuring and organizing datasets for analysis
Requirements
- Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field
- 2–4 years’ experience in a Data Analyst role (preferably within banking, fintech, or payments)
- Strong proficiency in Excel and SQL
- Experience with data visualization tools (e.g., Power BI, Tableau)
- Ability to work with large datasets and perform data cleaning and validation
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