Amazon
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Amazon
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A leading tech staffing firm is seeking a Data Analyst in Toronto to optimize data workflows for sanctions risk assessments. This contract position requires expertise in Python and SQL to build data pipelines and document processes. Ideal candidates have a degree in Data Science or Computer Science, 2+ years of related experience, and strong analytical skills. The hybrid role offers a pay range of $30-$40/hr, enabling compliance with regulatory standards in a collaborative environment.
This project underpins the organization’s global sanctions compliance strategy by building robust data pipelines and automation tools that feed into risk assessment models. The goal is to ensure timely, accurate, and efficient data processing for compliance reporting, enabling the business to meet stringent regulatory obligations and mitigate financial risk.
As a Data Analyst, you will play a critical role in designing and optimizing data workflows that support sanctions risk assessments. You will extract, transform, and load data from multiple sources, automate processes using Python and SQL, and document procedures to maintain transparency and reproducibility. This position demands strong technical expertise, attention to detail, and the ability to work collaboratively with risk and compliance teams.
Python, Pandas, Data, Analytics, SQL, Data analysis, Power BI, Sanctions, AML, Compliance
Intermediate Level
This is a Contract position based out of Toronto, ON.
The pay range for this position is $30.00 - $40.00/hr.
This is a hybrid position in Toronto, ON.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.