Data Analytics Engineer

SAP NS2
Herndon, VA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$138,645.0 - $166,970.0
Working hours
Regular working hours
Job source

Tech stack

SAP Cloud Artificial Intelligence Big Data Business Software Cloud Computing Data Architecture Data Centers Data Governance Extract Transform Load (ETL) Data Security Data Warehousing Relational Databases
+18 more
Enterprise Information Management Machine Learning Meta-Data Management NoSQL SAP (Applications) SAP HANA Data Streaming Data Ingestion Large Language Models SAP Business Technology Platform Data Strategy Data Lakes Data Analytics SAP S/4HANA Data Management Physical Data Models Servicenow Programming Languages

Job description

The Data and Analytics Engineer will work in a cross-functional team and will be responsible for defining 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, AI use cases, and/or dashboards leveraging SAP BDC, 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 solutions, which may include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, AI/machine learning, data science, and other business interests.

Requirements

Do you have experience in Technical Proficiency?, Do you have a Master’s degree?, * 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 BTP, SAP BDC, SAP HANA, DF4A, SAC, C4S, ECC, S/4HANA, ServiceNOW).
  • Experience with large language models (LLMs), Cline, SAP Joule, and AI agents (nice to have, not required).
  • 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)
  • Experience with ServiceNow data management features and functionality preferred
  • Ability to work in a fast-paced, constantly changing environment
  • Ability to work in a hybrid environment with geographically dispersed colleagues
  • Strong written and oral communication skills
  • Must be a U.S. Citizen

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