Fraud Analytics Associate II - Data Insights Consultant

Dovel Technologies, Inc; Arlington (VA); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Public Trust readiness

Job summary

Guidehouse is seeking an Associate II Fraud Analytics Consultant (Senior Consultant) to support data-driven fraud analytics, reporting, and investigative activities as part of a multidisciplinary team. You will work on data preparation, testing, validation, and analyses to identify trends and indicators of fraudulent activity.

The role requires 4+ years in data analytics or fraud analytics, strong SQL and BI skills (Power BI/Tableau/Spotfire), and the ability to communicate complex findings to

Qualifications

• Four or more years of professional experience supporting data analytics or fraud analytics.
• Experience with SQL and data analysis tools to query and analyze data.
• Experience developing reports, dashboards, and analytical products for decision-making.
• Ability to communicate technical findings to technical and non-technical audiences.
• Ability to obtain and maintain a Public Trust clearance.
• Willingness to work onsite at the client location in Lanham, Maryland, five days per week.

Responsibilities

• Support fraud analytics, data review, reporting, and investigative analysis activities.
• Prepare reports, dashboards, briefings, and technical documentation for stakeholders.
• Assist with data preparation, transformation, and quality review activities.
• Analyze structured and unstructured data to identify trends and indicators of fraud.
• Coordinate with technical teams and client stakeholders to clarify requirements and deliver tasks.

Skills

SQL

Data analytics

Fraud analytics

Reporting

Dashboards

Communication

Statistical techniques

Education

Bachelor's degree in a related field

Tools

Python

Power BI

Tableau

Spotfire

Job description

Guidehouse is seeking an Associate II Fraud Analytics Consultant (Senior Consultant) to support data-driven fraud analytics, reporting, and investigative activities as part of a multidisciplinary team. You will work on data preparation, testing, validation, and analyses to identify trends and indicators of fraudulent activity.

The role requires 4+ years in data analytics or fraud analytics, strong SQL and BI skills (Power BI/Tableau/Spotfire), and the ability to communicate complex findings to