Senior Data Analyst Principal

General Dynamics Information Technology•Gaithersburg, MD

20h•$142,792 - $167,900•Hybrid

About The Position

Deliver insights to help our clients turn data into action as a Sr. Data Analyst Principal at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career. At GDIT, people are our differentiator. As a Sr. Data Analyst Principal you will help ensure today is safe and tomorrow is smarter. Our work depends on a Sr. Data Analyst Principal joining our team to support a large scale data migration and integration work. This position is hybrid with 3 days of working onsite at the client office in Silver Spring, MD and/or the GDIT Gaithersburg office.

Requirements

Bachelors and 10+ years of related experience.
Experience creating complex SQL for queries, procedures, data migration, ETL, ELT.
Experience with Oracle Relational Database development and Oracle SQL Developer.
Extensive experience defining and documenting database team processes.
Expertise maintaining standard database documentation.
Must be able to obtain a public trust clearance, which requires residency in the U.S. for 3 of the last 5 years.

Nice To Haves

Communication
Extract Transform Load (ETL)
Oracle Database Development
Oracle SQL

Responsibilities

Performs data analysis, interpretation, and management duties.
Develops rules and methodologies for data collection and analysis.
Provides expert knowledge for the design, development, build, analysis of database management systems to include database modeling and design, relational database architecture.
Helps to define and document database team processes that keep the project organized and efficient.
May coach and provide guidance to less-experienced professionals.
Advises applications developers on data-based solutions to business problems, adherence to project-level database standards.
Create scripts for, and promotes structural and data changes between database environments.
Ensures new design patterns follow established database standards for the project.
Helps maintain standard database documentation, e.g., Data Dictionaries.
Helps to validates accuracy of data migration.