Data Analyst at Scene+, utilizing Python and SQL to analyze data for a top Canadian loyalty program. Collaborating with teams to enhance data quality and reporting.
About the role
- Data Analyst with 8+ years experience in data analysis, visualization, and reporting. 6-month contract in Toronto with hybrid work (3 days on-site).
Responsibilities
- Data analyst role requiring expertise in data analysis, visualization, and reporting using tools like SAS, SQL, Python, Power BI, and Excel. Experience with large datasets and retail credit risk knowledge (especially credit cards and ULOC) is preferred.
Requirements
- Must Have Skills: 1) 8+ years’ experience in data analysis, visualization and reporting 2) 5+ years’ experience with large datasets using SAS, SQL, Python 3) Experience with data visualization & reporting tools: Power BI, Excel. Nice-To-Have Skills: 1) Retail credit risk knowledge, especially credit cards and ULOC 2) Experience with consumer credit performance data & risk metrics.
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