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Embedded Legal/Fraud Data Analyst
Location : District of Columbia, Washington
Refer job # TUEX337355

Job Responsibilities and Requirements: The Embedded Legal/Fraud Data Analyst will be a member of a team responsible for the fielding, training, integration, and enhancement of a cutting-edge analytical platform. The Analyst will become an expert on this system and look for ways to increase customer efficiency and capability. This team will work in full collaboration with the end user to ingest, enrich, analyze, and display data to derive actionable qualitative and quantitative analysis products for the client and partner team. The successful candidate will also identify and collect requirements from the customer and provide feedback to Praescient and its partner(s) while working alongside the client in the field. The Analyst will model, import, manipulate, and analyze financial data, and use the platform to identify data quality issues, gaps in data, and provide innovative data analysis solutions. The Analyst must be self-motivated, innovative, resourceful, and able to work both independently and as part of a team. Additionally, the Analyst must demonstrate a high degree of problem solving ability and be able to communicate very effectively, both verbally and written. Statistical analysis and proficiency in statistical analysis tools are highly desirable. Essential Functions Provide financial analytical support to a client within the government regulatory sector Train and mentor a wide range of users to increase their proficiency and expertise on the i2 platform Interface with a broad range of current clients and pursue new groups and components for enterprise or off-enterprise work Produce quality reports, presentations, and demonstrations on a regular basis and document workflows and analytic processes for legal purposes and creation of standard operating procedures Use the platform to complete analytic tasks on an ad-hoc basis with short suspense using the platform and other relevant tools and software Provide high-quality, technically sound training on an individualized and need driven basis. Interface with a broad range of current clients and pursue new groups and components for enterprise or off-enterprise work Required Qualifications BS/BA, or 4 years equivalent experience 3 years of data analytics experience Solid experience with SQL or Python i2 or Tableau experience strongly preferred Financial fraud experience strongly preferred.



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