Fraud Strategy Data Analyst

Job Summary
:

First Horizon Bank is a leading regional financial services company dedicated to helping clients unlock their full potential. They are seeking a Fraud Strategy Data Analyst to support fraud detection, data quality, analytics, and reporting across the organization.

Responsibilities
:

• Manage and monitor data pipelines across Microsoft Fabric, SQL Server, and structured data sources.

• Ensure data quality, troubleshoot anomalies, and address system or pipeline issues.

• Automate manual reporting processes and build reusable data components.

• Create and maintain SOPs, data dictionaries, lineage documentation, and control metrics.

• Serve as a subject-matter expert for fraud dashboards, reporting, and source-system behavior.

• Partner with internal teams and vendors to support fraud monitoring and operational analytics.

Qualifications
:
Required
:

• Bachelor’s degree in a quantitative or technical field—or equivalent experience.

• 2–5 years in analytics, data operations, BI development, or fraud/risk analysis.

• Strong SQL and Power BI skills; experience with data modeling and dashboard design.

• Familiarity with ETL/ELT tools (ADF, Fabric pipelines), Power Query, and structured data handling.

• Ability to perform ad hoc analysis (trends, cohorts, anomaly detection) and present insights clearly.

• High attention to detail, strong communication skills, and an ownership mindset.

Preferred
:

• DAX, Python, Git, and Fabric Lakehouse/Warehouse experience.

• Background with banking or payment data (ACH, cards, deposits, transfers).

• Knowledge of fraud typologies and regulated environments.

• Relevant certifications (PL‑300, DP‑600, DP‑203, CFE).

Company
:

First Horizon Bank provides personal, business, and corporate banking, and private client services, to families and businesses. Founded in 1864, the company is headquartered in Raleigh, USA, with a team of  employees. The company is currently Late Stage.