AI Analytics Engineer, AVS Digital Transformation
USD 114K-171K Senior-level Full Time
Tasks
- Build SQL data pipelines
- Build and deploy AI solutions for forecasting anomaly detection and segmentation
- Define workspace governance and deployment pipelines
- Design curated semantic data layers
- Develop Power BI semantic models
- Enable natural language querying conversational analytics and metadata
- Implement data quality, lineage, and governance
- Integrate enterprise semantic models with business logic
- Optimize model performance for self service analytics
- Tune DAX and Power Query performance
Perks/Benefits
- 401k
- Accident insurance
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AWS Glue | AWS Redshift | Amazon Bedrock | Amazon S3 | Anomaly Detection | Azure Data | Azure Data Factory | BI Dataflows | Composite Models | Conversational AI | Copilot Studio | DAX | DAX M | Data Agents | Data Factory | Data Governance | Data Lineage | Data Quality | Fabric Data Agents | Microsoft Fabric | Natural Language | Natural language query | Operational forecasting | Power Apps | Power Automate | Power BI | Power BI Aggregations | Power BI Composite Models | Power BI Dataflows | Power Query | Python | SQL | Segmentation
Education
N/A
Roles
AI | AI Analytics Engineer | Analytics Engineer | Data Engineer | Engineer
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