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Fraud Data Analyst
LinkedIn Recruiter Post
Hiring a Fraud Data Analyst for a 12 - month contract in Toronto, ON. Requires 5+ years in data/analytics with fraud, AML, and threat detection experience.
About the role
- Senior Data Analyst driving insights in data science for Best Buy. Collaborating across teams to enhance operations impacting millions of customers in Canada.
Responsibilities
- Lead problem research, insights exploration, metrics design, and data storytelling to provide actional recommendations on business operations and product roadmaps.
- Optimize cost and revenue potential via opportunity analysis, forecasting, or simulation.
- Design and build experiments to measure impact of technology and operational changes that impact millions of customers.
- Create self-serve dashboards to track KPIs and support insights exploration.
- Partner with leaders in Marketing, Audience Segmentation, and Loyalty to identify strategic growth opportunities for Best Buy.
Requirements
- 4+ years of experience in analytics, data science, or related role.
- Advanced proficiency in Python, including experience with data analysis, visualization, and statistical libraries.
- Experience working with REST APIs to programmatically gather data, including authentication, pagination, and transforming API responses into analysis‑ready datasets.
- Strong SQL skills, with hands‑on experience querying and modeling data in Snowflake.
- Experience creating clear, insightful visualizations using libraries such as matplotlib, seaborn, and plotly, as well as dashboarding tools like Power BI.
- Experience working in the marketing domain (e.g., media mix, campaign measurement, attribution, customer acquisition/retention) is considered an asset.
Benefits
- Remote-first work environment.
- Employee discounts on awesome tech from day one.
- Flexible health benefits and wellness program.
- TFSA and RRSP programs.
- 100% matched company pension plan.
- Training programs to build new and transferable skills.
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