Join our premier consulting client's Fraud Development Team to develop Tableau dashboards, automate alerts, and build scalable data workflows for proactive fraud detection and automation.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Title: Sr. Data Analyst – Fraud Development
Location: Pittsburgh, PA (Hybrid | Relocation Required for Non-Locals)
Type: Full-time
About the Role:
We are hiring a Sr. Data Analyst for one of our premier consulting clients to join their Fraud Development Team. This team supports proactive fraud detection and automation across Cards, Deposits, and Consumer Banking. The selected candidate will focus on developing Tableau dashboards, automating alerts, and building scalable data workflows that drive actionable fraud insights.
Responsibilities:
- Design, develop, and maintain interactive Tableau dashboards for fraud analytics and performance monitoring.
- Automate email alerts and documentation workflows to enhance fraud monitoring efficiency.
- Develop and optimize complex SQL and PySpark scripts to extract, transform, and analyze large datasets.
- Work extensively with Hadoop and other enterprise-grade data platforms.
- Partner with business stakeholders and offshore teams to translate fraud detection needs into data solutions.
- Ensure scalability, automation, and accuracy across data processes.
Required Skills & Experience:
- Advanced proficiency in SQL, Python, PySpark, and Tableau.
- Experience with large datasets and data extraction from Hadoop environments.
- Strong analytical skills and ability to deliver accurate, time-sensitive results.
- Proven experience working with offshore or distributed teams.
- Banking or fraud analytics domain experience preferred, but not mandatory.
Additional Information:
- This position sits within the Fraud Development Team (not monitoring).
- Hybrid role based in Pittsburgh, PA – relocation required for non-local candidates.
- Immediate availability preferred.
Acunor is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants, regardless of race, gender, religion, age, disability, sexual orientation, or veteran status.
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