SAP NS2 Senior Data and Analytics Engineer - Hybrid (Herndon, VA)

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

 

SAP NS2 Senior Data and Analytics Engineer - Hybrid - Herndon, VA

 

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

 

SAP is the global market leader for business software and related services, and SAP National Security Services Inc. ® (SAP NS2®) is an independent U.S. subsidiary, offering SAP solutions with specialized levels of security and support to meet the requirements of U.S. national security and critical infrastructure customers.

Must be a U.S. Citizen; NS2 does not offer Visa sponsorships for this role.

 

All internals must have manager’s approval to transfer.

 

The oCOO Data Management team is responsible for providing data and analysis to support evaluation, research, assessment, and strategic planning for management decisions. The team creates data and analytics and enables users throughout the business to create a data-driven culture with an agile mindset enabling business transformation while working to ensure secure data usability, availability and efficiency. This position is a hybrid role and will be required to come in to the Herndon, VA office approximately one day a week.

 

The Senior Data and Analytics Engineer will work in a cross-functional team and will be responsible for defining a data architecture to support the business strategy and for data modeling development. Specific responsibilities include:

· Design, develop, and document analytics and statistical modeling to develop metrics, reports, and/or dashboards leveraging SAP HANA and SAP Analytics Cloud

· Work with business and application/solution teams to define and implement data strategies, build data flows, and develop conceptual/logical/physical data models

· Define to-be data architecture that supports business objectives and govern the expansion of existing data architecture and the optimization of analytics performance via best practices.

· Provide recommendations and support SAP NS2’s master data architecture, data governance approach, and data quality improvement efforts

· Ensure re-use of existing data artifacts and single source of truth concept via the data architecture and data governance

· Drive organizational change management and agile transformation throughout the establishment and optimization of analytics

· Resolve complex issues proactively working both independently and collaboratively as appropriate to address project requirements and articulate issues/challenges to reduce project delivery risks.

· Design, implement, and document future-state data architecture and data modeling solution, which may include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management,

business intelligence, machine learning, data science, and other business interests.

 

Required Skills:

· Bachelor’s degree or master’s degree + 5-8 years’ experience

· Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, and ETL and data ingestion protocols).

· Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.

· Experience developing or maintaining data models and analytics related to financial management, sales, cloud operations, customer success and/or technology operations.

· Proficient knowledge and technical competencies of relevant programming languages and modeling technologies and related business applications (e.g. SAP HANA, SAP Analytics Cloud, ECC, S/4HANA, ServiceNOW)

· Good knowledge of master data management, metadata management, data modeling, and related tools.

· Good knowledge of data security requirements for federal contractors (e.g. NIST Special Publications)

· Ability to work in a fas