Senior Data Analyst- Fraud Analysis

20 hours ago


Pittsburgh, Pennsylvania, United States Infojini Inc Full time

Role: Senior Data Analyst- Fraud Analysis

Location: Pittsburgh, PA – Hybrid

Domain: Banking Needed

Type: Full Time Role (No Contract)

Work Authorization: This role is not eligible for company sponsorship now or in future

Skillset: SQL, Python, PySpark, and Tableau

About the Role

We are seeking a highly skilled
Developer/Analyst
to join our
Fraud Development Team
. The ideal candidate will be responsible for developing
Tableau dashboards
and
email automation solutions
to support proactive fraud detection and monitoring documentation automation across key business lines — including
Cards, Account Opening, Digital Channels, and Deposits
.

This role requires a combination of strong technical expertise, analytical thinking, and the ability to deliver in a fast-paced, high-stakes environment.

Key Responsibilities

* Design, develop, and maintain
interactive Tableau dashboards
to support fraud monitoring and reporting needs.

* Build and automate
email alert systems
to help automate documentation for Fraud Monitoring Team.

* Write and optimize
complex SQL and PySpark queries
to extract, transform, and analyze large datasets from
Hadoop
and
Oracle
environments.

* Collaborate closely with business stakeholders to translate monitoring needs into actionable data solutions.

* Deliver quick-turnaround solutions for emerging fraud scenarios or urgent monitoring requirements.

* Manage project timelines and communicate progress, risks, and dependencies effectively in a
high-velocity, deadline-driven environment
.

* Think through and implement end-to-end workflows, ensuring data integrity, scalability, and automation.

* Contribute domain expertise in
Fraud Management
for US Banking — specifically across
Cards, Account Opening, Digital, and Deposits
fraud space.

Required Skills & Qualifications

* Advanced proficiency in: SQL, Python, PySpark, and Tableau.

* Hands-on experience with data extraction and processing from Hadoop and Oracle data environments.

* Proven ability to deliver results under tight timelines with high accuracy.

* Excellent communication and stakeholder management skills.

* Ability to understand complex data workflows and build robust, automated solutions.


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