- 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

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