Performs data analysis, interpretation, and management duties. Develops rules and methodologies for data collection and analysis.
Conduct and lead discussions with business leads and SMEs to understand and document the scope and business requirements, and translate these into the technical database designs.
Interface with key stakeholders to define, analyze, and deliver requirements that reflect the needs of the business, and translate to detailed design specifications.
Lead in the creation, development, implementation, configuration, maintenance, and support of data models for databases, data marts, and data warehouses.
Develop methods to store, organize, and report data and incorporate development operation/ automation where appropriate.
Collaborate on the definition, development, and maintenance of standards and processes.
Proactively investigate and troubleshoot technical challenges, and direct corrective action.
Identify potential design, process and/or system changes to optimize performance, perform data normalization, and mitigate risks.
Research, troubleshoot, and resolve data issues impacting report and data delivery.
Expertise in data modeling principles/methods including conceptual, logical & physical Data Models, ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience, strong inter-personal skills and ability to work as part of a team, knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization and ability to quickly learn and adapt modeling methods from case studies or other proven approaches.
Software Development experience: Ability to utilize Business Intelligence tools (Power BI) to represent insights. Experience working with dimensional modeled data and experience in translating/mapping relational data models into XML and Schemas.
Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio, TOAD) SQL and/or PL/SQL RDBMS platforms (e.g. SQL Server, Oracle, IDMS) Microsoft Excel, Word, Power Point and Visio.
Familiarization with Cloud Data warehouses, Big Data Concepts, development methodologies, and server/network foundations a plus. Adhere to and inform data architecture processes, standards and guidelines.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.