Senior Data & Analytics Specialist
Tasks
- Apply machine learning
- Build data pipelines
- Build predictive models
- Build retrieval pipelines
- Build self-service analytics
- Create AI ready data assets
- Create executive dashboards
- Define data models
- Deliver KPI reporting
- Design data platform
- Develop data lakes
- Develop data warehouses
- Ensure data governance
- Ensure data quality
- Evaluate model performance
- Implement ETL/ELT
- Operationalize analytics solutions
- Perform statistical analysis
- Prepare vector ready datasets
- Provide data engineering leadership
- Recommend analytics tools
- Support analytics and AI strategy
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Platform | CI/CD | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehousing | Data platform | DevOps | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | LLM | Machine Learning | Metadata Management | Microsoft Fabric | Model Evaluation | Power BI | Predictive Modeling | Python | RAG Pipelines | Retrieval-Augmented Generation | SQL | Semantic Search | Semantic models | Statistical Analysis | Vector Databases | “as-code”
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