Data & Analytics Intern

Jobtailor; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

Jobtailor in Toronto, Canada is seeking to advance enterprise analytics engagements by delivering robust data solutions and guiding end-to-end user experiences. The role emphasizes collaboration with clients to translate requirements into actionable analytics implementations.

The candidate will work with core SQL, Python, and Azure data services to develop and manage analytics pipelines, ensuring high quality deliverables and adaptability to evolving client needs.

Qualifications

• Experience developing analytics solutions for enterprise engagements.
• Familiarity with Microsoft data technologies (Azure) is a plus.
• Ability to analyze business processes and adapt to changing client requirements.

Responsibilities

• Play an integral role in delivery practice on enterprise engagements.
• Engage directly with clients and drive implementation and end user experience of analytics solutions.
• Analyze business processes and assist in documenting requirements, design, and user guides.
• Develop and manage analytics solutions as part of client data solutions.

Skills

Analytics Solutions Development

Client Engagement

Attention to Detail

Adaptability

Education

Candidate for Math, Computer Science, Engineering, or related field

Tools

Microsoft Stack

SQL Azure

Azure Data Lake

Azure Data Factory

Azure Databricks

Apache Spark

SQL

Python

Job description

• 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
• Strong 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