Senior Data & Analytics Specialist
Tasks
- Apply statistical analysis and predictive modeling
- Build data warehouses and data lakes
- Build forecasting and machine learning models
- Build vector ready datasets and retrieval pipelines
- Create AI ready governed data assets
- Create data models and semantic models
- Deliver self-service analytics
- Design enterprise data platform
- Develop ETL/ELT pipelines
- Develop executive dashboards and KPIs
- Establish analytics governance and best practices
- Evaluate and improve model performance
- Implement Data Governance and Data Quality
- Operationalize analytical models
- Provide technical leadership for data architecture
- Recommend analytics and AI tools
- Support AI and generative AI integrations
Perks/Benefits
Skills/Tech-stack
Azure | CI/CD | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehouse | DevOps | Dimensional Modeling | ELT | ETL | Forecasting | Generative AI | Git | Infrastructure as Code | LLM | Machine Learning | Metadata Management | Microsoft Fabric | Power BI | Predictive Modeling | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic Model | Statistical Analysis | Vector Databases | “as-code”
Education
N/A
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