The data analyst focuses of analysis and problem solving data challenges as they relate to types of data, and relationships among data elements within the platform
Cleanses, curates and standardizes data with quality to support sustainable and scalable data interaction, analysis and insight development
Understands, transforms, and visualizes large data sets from many sources using a variety of tools
Implements enterprise data governance model and actively promotes the concept of data sharing, data reuse, data quality and data standards
Performs any necessary data mapping, data lineage activities and document information flows
Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
Serves as data subject matter expert and demonstrate an understanding of key data management principles and data use
Models and communicates findings to make data analysis actionable and understandable by business partners
EDUCATION & EXPERIENCE:
Typically Requires a Bachelor's degree or equivalent, and ten to twelve years of related work experience. Masters degree preferred.
Strong problem formulation, analytical and problem solving skills, with the ability to communicate in a clear and succinct manner
Change oriented, with the ability to actively generate process improvements, support and drive change, and confront difficult circumstances in creative ways
Five plus years of experience working with big data-related projects, and data operations experience compiling data for analytics, working with data analysis methodologies and supporting tools
Three plus years of experience in data design, data architecture and data modeling (both transactional and analytic)
Two plus years of experience in Big Data, NoSQL technologies
Knowledge of command line experience with loading and manipulating files within HDFS
Experience with data transfer and ingestion technologies
Knowledge of data management standards, data governance practices and data quality
Minimum of ten years of experience working with data; including running queries and compiling data for analytics
Experience in data design, data architecture or data modeling (both transactional and analytic)
Normal demands associated with an office environment. Ability to work on computer for long periods and communicate with individuals by telephone, email and face to face. Some travel may be required.
CACI is an Equal Opportunity Employer: Females / Minorities / Individuals with Disabilities / Protected Veterans.