Data Analytics Specialist I — Fraud & Risk (Hybrid Telework)

Commonwealth of Pennsylvania; Harrisburg (Dauphin County); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Commonwealth of Pennsylvania’s PSERS Risk and Performance Data Office is recruiting a Data Analytics Specialist 1 to develop data products, dashboards, and analyses that help business units monitor performance, assess risks, and identify operational improvements.

This role requires collaborating with the Chief Data Officer on designing interactive, self-service visualizations, supporting fraud prevention initiatives, and presenting insights to leadership with clear analytical approaches.

Qualifications

• Two years of professional quantitative analytical experience utilizing data preparation, statistical analysis, or data visualization software programs.
• Bachelor’s degree in statistics, applied mathematics, computer science, data science, economics, actuarial science, GIS, or related STEM field.
• Graduate credits can substitute for experience as described.

Responsibilities

• Collaborate with the Chief Data Officer to develop complex, interactive data visualizations with self-service functionality.
• Analyze, monitor, and review data to identify threats and support fraud prevention product development.
• Gather risk-related information, monitor for audit findings, and interpret data and deployment to business units.
• Write executive summaries of fraud events and provide insights to leadership for decision making.

Skills

Quantitative analysis

Data visualization

Statistical analysis

Education

Bachelor's degree in statistics or related field

30 graduate credits in data analytics

Job description

Commonwealth of Pennsylvania’s PSERS Risk and Performance Data Office is recruiting a Data Analytics Specialist 1 to develop data products, dashboards, and analyses that help business units monitor performance, assess risks, and identify operational improvements.

This role requires collaborating with the Chief Data Officer on designing interactive, self-service visualizations, supporting fraud prevention initiatives, and presenting insights to leadership with clear analytical approaches.