ERP Data Specialist helping BinSentry, an AI - powered ag - tech company, migrate master and financial data into NetSuite. Coordinating implementation and ensuring accurate, reconciled records.
About the role
- Data Intelligence Specialist building enterprise data solutions for L3Harris WESCAM. Integrating, modeling, governing, and enabling analytics across complex business systems.
Responsibilities
- Analyze and integrate data from business applications, databases, APIs, cloud platforms, and external systems
- Create reusable semantic layers, curated datasets, and business-ready data models
- Support the design and maintenance of enterprise data lakes and modern data platforms
- Translate business needs into logical and physical data models
- Document business rules, transformation logic, lineage, and technical specifications
- Build semantic views and analytical models for BI tools and self-service reporting
- Support dashboard, visualization, and enterprise reporting initiatives
- Implement data quality standards, monitoring processes, and governance controls
- Troubleshoot data discrepancies and resolve integration or transformation issues
- Coordinate work with developers, architects, analysts, business leaders, and other cross-functional stakeholders
- Communicate technical concepts and operational processes to technical and non-technical audiences
Requirements
- Bachelor's Degree in Information Technology, Computer Science, Engineering, Data Analytics, Business Technology, or related discipline with a minimum of 4 years of relevant experience
- Graduate Degree with a minimum of 2 years of related experience
- In lieu of a degree, a minimum of 8 years of directly related experience
- Experience with Azure, Databricks, and Fabric data platforms
- Experience building semantic models in Power BI or similar BI platforms
- Knowledge of data governance frameworks and master data management
- Familiarity with API integrations, data virtualization, and real-time streaming
- SQL, Python, or similar data processing technologies
- Data modeling and semantic layer design
- Data lake and warehouse architecture
- Metadata, lineage, and governance tooling
- Requirements gathering and documentation
- Process analysis and workflow understanding
- Problem-solving and analytical thinking
- Ability to explain technical concepts to non-technical audiences
- Strong written and verbal communication skills
- Ability to influence and collaborate across departments
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