- Play an integral role in our delivery practice as we execute on enterprise level engagements through our various industry specializations
- Engage directly with clients and drive the implementation and successful end user experience of analytics solutions
- Analyze business processes and requirements, and assist in maintaining documentation including requirements, design, and user documentation
- Develop and manage Analytics solutions as part of client data solutions Requirements - Candidate for Math, Computer Science, Engineering, or related field
- Prior experience developing using the Microsoft stack of technologies is not required but is considered an asset
- Technologies include but are not limited to Core SQL, Python, SQL Azure, Azure Data Lake, Azure Data Factory, Azure Databricks, and Apache Spark
- Solid attention to the quality of work delivered (attention to detail)




- Able to adapt quickly to changing client requirements Core Competencies Demonstrates expertise in developing and managing Analytics solutions using Microsoft technologies, with a strong focus on delivering high-quality work and adapting to client needs. Highest-signal resume keywords - Analytics Solutions Development
- Core SQL
- Python
- Azure Data Factory
- Attention to Detail ATS Optimization Keywords Hard Skills - SQL
- Python
- Core SQL
- Azure Data Lake
- Azure Data Factory
- Azure Databricks
- Apache Spark Soft Skills - Attention to Detail
- Adaptability Industry Keywords - Business Process Analysis
- Client Engagement
- Documentation Management Tools & Technologies - Microsoft Stack
- SQL Azure
- Azure Data Lake
- Azure Data Factory
- Azure Databricks
- Apache Spark

📌 Data & Analytics Intern (Toronto)
🏢 Jobtailor
📍 Toronto