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Sr Data Analyst Fraud Development

  • ... Posted on: Nov 12, 2025
  • ... Acunor Inc
  • ... Pittsburgh, Pennsylvania
  • ... Salary: Not Available
  • ... Full-time

Sr Data Analyst Fraud Development   

Job Title :

Sr Data Analyst Fraud Development

Job Type :

Full-time

Job Location :

Pittsburgh Pennsylvania United States

Remote :

No

Jobcon Logo 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.

Jobcon Logo Position Details

Posted:

Nov 12, 2025

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-d2666918641a4a457457a6311452395921b76797180b310a2f9a1c60bedac61a

City:

Pittsburgh

Job Origin:

CIEPAL_ORGANIC_FEED

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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.

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