Alta IT Services is supporting a contract opportunity for a mid-senior data analyst to join their team in Rockville, MD.Candidates should be local to attend an onsite interview and be engaging with the team. *Analyze large data sets to gain an understanding of the data, Client data anomalies, and look for ways to leverage data in support of client's regulatory mission.*Become the Subject Matter Expert in the Domain*Integrate data from disparate sources to help define an enterprise data dictionary.*Define and populate conceptual and logical data models, data dictionaries and metadata repositories.*Define and document key business processes, technical requirements, data scenarios and data transformations.*Maintain relationships with business and technical staff across the enterprise to understand data requirements and usage patterns.Required Skills and Qualifications:*Understand logical, physical and conceptual data models.*Strong SQL, including analytic functions.*Strong verbal and written communication skills.*Ability to elicit requirements from business users and convey them clearly to technology teams.*Ability to explain data models, requirements and quality issues to non-data savvy users.*Ability to create data scenarios and explain data transformations.*Solid foundational knowledge of data warehousing, metadata management, and master data management (MDM).*Experience with data profiling, cleansing and transformation.Preferred Skills and Qualifications*Define data specifications or data models for a large department or enterprise.*Business analysis work using process modeling and conceptual data modeling.*Experience with process modeling methodologies (eg, RUP, CMMI, BPM, User Stories).*Experience in an Agile/SCRUM environment.*Experience with master data management (MDM), data governance and data quality management.*Experience with understanding of statistics and its usage in data analysisPlus Skills and Qualifications:*Industry knowledge - prior experience at a broker-dealer firm, SEC or other financial agency.*Experience with big data, Hadoop, NoSQL databases*Experience with document management metadata*Exposure to statistical languages like RSQL complex understanding data models this team receives 100 billion terabytes of data to sift through they are structuring the tasks for where this data goes - data science (not machine learning) A master in data management - normalizing the data and the path of the structure of the data/managing the data quality moving the data to a usable platform like SQL