Principal Analytics Engineer - Analytics & AI
Tasks
- Automate analytics workflows
- Build reusable analytics components
- Build semantic models and KPI definitions
- Collaborate with stakeholders to deliver data-driven insights
- Create Power BI dashboards and self service analytics
- Design analytics solutions
- Develop governed data assets
- Document and deploy BI analytics solutions
- Establish data quality governance lineage validation
- Execute SQL for analytics and reporting
- Implement conversational analytics and natural language querying
- Integrate analytics via APIs and event driven architecture
- Lead AI enabled analytics development practices
- Lead analytics project plans and metrics
- Provide technical leadership and mentoring
- Translate business needs into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Automated testing | Azure | Azure AI | Azure Data | Azure Data Factory | Azure Functions | Azure OpenAI | Business Intelligence | C# | CI/CD | Cassandra | Code review | Conversational Analytics | Cosmos DB | Data Architecture | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Quality | DevOps | DynamoDB | Event Driven | Event-driven architecture | Git | Infrastructure as Code | Language Models | Language Processing | Large Language Models | Logic Apps | Microsoft Copilot | Microsoft Fabric | MongoDB | Natural Language | Natural Language Processing | NoSQL | OpenAI | Power BI | Python | SQL | Semantic models | Snowflake | Workflow automation | “as-code”
Education
Regions
Countries
States
Cities
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