Data Analyst

We are seeking a Data Analyst that will be a part of an Analytics team that has been tasked with scoping, developing, modelling, implementing, and delivering robust statistical data analytics on payment data to identify and prevent potential fraudulent and improper payments.

Responsibilities:

- Participate in the design, development, implementation, validation and use of analytical models and solutions (descriptive and eventually predictive models)
- Perform complex, detailed data analysis with very granular level data while summarizing and presenting relevant findings to multiple levels of stakeholders
- Create descriptive and predictive models to study patterns, trends, and likely outcomes while reporting findings to appropriate Agencies
- Perform impact analysis to evaluate IT, data, and/or model changes while effectively communicating potential risks and effects to Agencies
- Interpret complicated models, analytical techniques, and results to both technical and non-technical audiences of varying levels, including recommendations to reduce improper payments and fraudulent activity
- Identify data quality issues and recommend the best course of action to address them
- Create technical documentation, outlining design and technical specifications of models and analysis results
- Research new analytical methodologies, tools, and data sets to further complement our existing framework

Qualifications:

- Bachelor's degree in Business, Finance, Economics, Computer Science or equivalent experience required
- 3+ years of 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
- Experience dealing with analysing fraud and/or suspicious activity a plus
- Proficiency in relational database management systems, spreadsheets, and analysis tools
- Proficiency in data programming languages such as SQL, PostgreSQL, or PL/SQL
- Proficiency in Microsoft Office Excel
- Knowledge of analytical and statistical software packages such as SAS, R, Stata, Matlab, Eviews, or S-plus is desired
- Ability to use Microsoft Office Suite (Word, PowerPoint, Access, Visio)
- Strong organizational, time management, and follow up skills required
- 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