Fraud Data Analyst

We are seeking a Business Analyst that will be a part of a function tasked with completing robust data analytics on federal payment data to identify potential fraud.

The services will include:

The development of rules, techniques, algorithms, and models to:

- Detect abnormal or anomalous patterns in payment activity,
- Identify relationships (link analysis), and 
- Predict how these patterns and relationships may change over time; and
- The development of methodologies and practices to enhance the ability of agencies to reduce payment errors and prevent fraud

Responsibilities:

- Perform analysis of moderate and large size data sets using spreadsheets
- Identify creative and useful additional analyses based on client feedback and subject matter expertise
- Determine formats, structure, and categories of data to be used or extracted during analysis, and relationships between data elements that will produce information that will help identify improper payments
- Engage and facilitate discussions with Program agencies to identify business rules for use in assessing payments data for improper payments
- Extract and integrate data from multiple sources in multiple formats (eg, database, spreadsheets, text files) for performing modelling, analysis, and reporting
- Present findings and recommendations related to the analysis and identification of improper payments
- Review analyses to ensure results are reasonable
- Produce reports suitable for technical and non-technical audiences that are well structured, include explanations of results, and include recommendations to reduce improper payments
- Provide data analytics subject matter expertise to client and team members to promote the application of best practices
- Develop effective working relationships with client and other project stakeholders
- Interact with clients and various project members to ensure that specified business needs are met

Qualifications:

- Bachelor's degree in Business, Finance, Economics, Computer Science or equivalent experience required
- 3+ years experience in related field
- Excellent analytical and problem solving skills with attention to detail and data accuracy
- Strong interpersonal, communication (verbal and written), relationship management, and customer service skills with a focus on working effectively in a team environment
- Proficiency in automated database, spreadsheet, and analysis tools
- Knowledge of database programming such as SQL and experience with analytical and statistical software packages such as SAS, R, and S-plus is helpful
- Ability to use MS Office Suite (Word, Excel, Powerpoint, Access, Visio)
- Ability to complete analysis using statistical applications and database programs is a plus
- Strong organizational, time management and follow up skills
- Ability to work cross-functionally to solve complex problems and improve quality and service
- Ability to perform involved and independent research and analysis
- Ability to present and convey results of analyses to various audiences
- Ability to manage multiple projects and work processes in a timely fashion
- Ability to maintain confidentiality and appropriately handle sensitive information