7206 - Senior Analytics Specialist (Must Reside in Sacramento to be Considered)
Job Description:
Seeking an experienced Senior Analytics Specialist to design, develop, and maintain enterprise data models that support advanced analytics, reporting, and business intelligence initiatives. This role is responsible for building scalable data solutions across relational and cloud-based environments, optimizing data structures for performance, and enabling insights through modern analytics tools.
The ideal candidate will have strong experience in data modeling, cloud architectures, and visualization platforms, along with the ability to support AI and machine learning data needs. This position also plays a key role in documentation, publishing data assets, and transferring knowledge to internal teams.
Key Responsibilities:
- Design, develop, and maintain relational and cloud-based data models to support reporting and analytics
- Build and optimize data models for Power BI and other visualization platforms
- Develop data structures to support AI and machine learning workflows, including feature engineering and data preparation
- Create and manage data pipelines and ensure efficient data processing and performance
- Publish data models to appropriate platforms, ensuring accessibility, security, and usability
- Develop and maintain comprehensive documentation including data dictionaries and data model diagrams
- Support updates and enhancements to existing data models and related documentation
- Conduct knowledge transfer sessions and provide training on data modeling concepts and tools
- Collaborate with technical teams and business stakeholders to align data solutions with organizational needs
Required Skills and Experience:
- Strong experience in data modeling for relational databases and cloud environments
- Experience designing scalable data architectures and data pipelines
- Proficiency with Power BI for data modeling and visualization
- Experience with data modeling tools such as Erwin or similar
- Knowledge of cloud-based data platforms and modern data architecture patterns
- Experience supporting AI and machine learning data requirements
- Strong understanding of data governance, data quality, and data integration practices
- Ability to create clear technical documentation and communicate complex concepts to non-technical stakeholders
- Experience leading or supporting knowledge transfer and training efforts
Desired Skills:
- Experience with medallion architecture or similar modern data frameworks
- Familiarity with enterprise data platforms and analytics ecosystems
- Experience working in large, complex organizations with cross-functional teams
- Strong analytical and problem-solving skills
Engagement Details:
- Duration aligned with a one-year engagement with potential extensions
- Deliverables include data model development, documentation, and knowledge transfer
This role requires a highly skilled data professional who can bridge technical data architecture with business-driven analytics needs while ensuring scalability, usability, and long-term sustainability of data solutions.
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