Data Analytics Engineer
SAP NS2
Herndon, United States of America
16 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 167KJob location
Herndon, United States of America
Tech stack
SAP Cloud
Artificial Intelligence
Big Data
Business Software
Cloud Computing
Data Architecture
Data Centers
Data Governance
ETL
Data Security
Data Warehousing
Relational Databases
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 Lake
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