Data Analyst/Reporting Analyst - Fraud Analytics

Job Description

Data Analyst/Reporting Analyst - Fraud Analytics:
On behalf of our Banking client, Procom is searching for a Data Analyst/Reporting Analyst - Fraud Analytics for a 12-month role. This position is a hybrid position with 3 days onsite at our client’s Toronto office.

Data Analyst/Reporting Analyst - Fraud Analytics - Job Description:
This role involves hands-on data analysis, KPI tracking, report automation, data validation, and documentation within the Global CIAM Fraud Strategy and Solutions team. It is ideal for analysts seeking growth in fraud analytics, CIAM, and large-scale data environments.

Data Analyst/Reporting Analyst - Fraud Analytics - Responsibilities:
• Ingest and transform data from multiple sources using SQL and Python.
• Build and maintain Power BI reports and dashboards for CIAM fraud metrics.
• Track and report CIAM KPIs and produce weekly/monthly insights with trend analysis.
• Support root-cause analysis and post-incident reporting with clear data narratives.
• Execute ad hoc queries to answer business questions around control performance and fraud patterns.

Data Analyst/Reporting Analyst - Fraud Analytics - Mandatory Skills:
• 2–4 years of hands-on experience as a Data Analyst or Reporting Analyst.
• Proficiency in SQL for querying large datasets.
• Practical experience with Power BI and building dashboards.
• Experience working in Agile teams and tools (Jira, Confluence).
• Exposure to Python, BigQuery or similar cloud data warehousing.

Data Analyst/Reporting Analyst - Fraud Analytics – Nice-to-Have Skills:
• Experience in Fraud Analytics, CIAM, or Cybersecurity analytics.
• Prior global financial institution or large-scale data environment experience.

Data Analyst/Reporting Analyst - Fraud Analytics – Assignment Length:
This is a 12-month contract with the possibility of extension.

Data Analyst/Reporting Analyst - Fraud Analytics - Start Date:
ASAP.

Data Analyst/Reporting Analyst - Fraud Analytics - Assignment Location:
Toronto, Ontario, Canada; Hybrid role with 3 days in office (Tuesdays, Wednesdays, and Thursdays).

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.