Senior Data & Analytics Specialist
Tasks
- Apply statistical analysis predictive modeling and forecasting
- Build retrieval pipelines for RAG
- Build scalable ETL and ELT pipelines
- Build self service analytics reports
- Create data models and semantic models
- Design enterprise data platform
- Develop and evaluate machine learning models
- Develop and maintain data warehouses and data lakes
- Develop executive dashboards and KPIs
- Implement Data Governance and Data Quality
- Operationalize analytics models for enterprise use
- Prepare AI ready governed data assets
- Provide technical leadership in data architecture
- Recommend analytics and AI technology improvements
- Support generative AI data preparation
Perks/Benefits
Skills/Tech-stack
Azure | CI/CD | Data Architecture | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Dimensional Modeling | ELT | ETL | Generative AI | Git | Infrastructure as Code | LLMs | Machine Learning | Metadata Management | Microsoft Fabric | Power BI | Predictive Modeling | Python | Retrieval-Augmented Generation | SQL | Semantic models | Statistical Analysis | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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