Senior Data Analyst

CACIWashington, DC
Onsite

About The Position

The Senior Data Analyst within the CACI Data Analytics Lab is responsible for providing senior-level support for data analytics projects surrounding investigations or litigation. This includes managing projects on various cases from initiation to closure, developing deliverables and serving as a primary point-of-contact for Attorneys and Case teams. Senior Data Analysts gather a wide variety of data types from primary and secondary sources through diverse channels using a combination of methods that will be researched and employed by the Data Analytics Lab Management team. Senior Data Analysts develop, maintain, and enforce streamlined and efficient processes for project lifecycles, from collection through transformation of data; manage timelines, training, resources, and budgets through the finalization of client deliverables. Manage the collection, documentation, vetting and onboarding of data, manage the database development and set up, and oversee the population of data into the appropriate analytical tools. Must have the ability to guide and assist other data analysts as required.

Requirements

  • Strong analytical, problem solving, and communication skills with a keen attention to detail.
  • Ability to attack new challenges and learn new skills independently.
  • Well organized and flexible.
  • Diverse experience and skills in data analysis, analytic programming languages (Python, R, Java), litigation support, statistical software, link analysis, visualization software, and database management.
  • Significant experience in one or more of the following tools is required: Tableau Software, IBM i2 Analyst Notebook, ESRI ArcGIS Pro
  • Experience with the following types of Database: SQL Server, Oracle, PostgreSQL, MySQL
  • Programming and/or scripting (Python, R, Java)
  • Background in Law Enforcement, Data Science, Data Analysis, Computer Information Systems, or Statistics
  • Industry analytics/business intelligence knowledge including current industry trends, challenges, and data quality approaches
  • Deep understanding of database, ETL, and analytics tools and concepts
  • Must be able to work independently and prioritize work effectively, as well as to function as an effective team member in a local and virtual team development environment
  • Strong analytical and problem-solving skills with an unsurpassed attention to detail
  • Excellent communication (written and verbal) skills
  • Experience supporting federal agencies

Nice To Haves

  • Experience with IBM i2 Enterprise Insight Analysis (EIA) highly preferred
  • Certified Fraud Examiner (CFE), Certified Anti-Money Laundering Specialist (CAMS), or Certified Financial Crimes Specialists (CFCS) highly preferred

Responsibilities

  • Defining, developing, and communicating data analytics solutions to support the customer.
  • Corresponding with key case personnel to elicit requirements and provide regular status updates.
  • Performing data analysis and modeling to understand and identify data relationships/trends/classifications/predictions.
  • Proposing reporting solutions that best present the information to the end users.
  • Delivering the completed solution.
  • Manage the collection, documentation, vetting and onboarding of data.
  • Manage the database development and set up.
  • Oversee the population of data into the appropriate analytical tools.
  • Guide and assist other data analysts as required.

Benefits

  • Flexible time off
  • Robust learning resources
  • Competitive compensation
  • Benefits and learning and development opportunities
  • Comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
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