INTERNSHIP DETAILS

Data Analyst Intern

CompanyIntelcom
LocationMontreal
Work ModeOn Site
PostedApril 30, 2026
Internship Information
Core Responsibilities
The intern will analyze volume and density fluctuations to support proactive planning and identify areas suitable for electric vehicle coverage. They will also generate reports, maintain Power BI dashboards, and collaborate with various departments to harmonize data.
Internship Type
full time
Company Size
2920
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Intelcom est une entreprise de logistique du dernier kilomètre chef de file dans le secteur du commerce électronique. Nos équipes d’un bout à l’autre du Canada ainsi que notre réseau d’entrepreneurs indépendants contribuent aux activités quotidiennes d’Intelcom. En innovant constamment et en adoptant une approche unique en matière de technologies logistiques, Intelcom est résolument tournée vers l’avenir afin de continuer à offrir une efficacité opérationnelle toujours plus grande. __ Intelcom is a leading last-mile carrier in the e-commerce sector. Our teams across Canada as well as our network of independent contractors contribute to Intelcom’s daily operations. Through constant innovation and a unique approach to logistics technology, Intelcom is focused on what’s ahead to continue delivering new levels of operational efficiency.
About the Role

Make your internship count

At Intelcom, interns don’t just observe, they contribute meaningfully to real projects that shape how we operate. You’ll gain hands-on experience, grow your skills, and explore long-term career opportunities in a fast-moving, innovation-driven environment.

As a Data Analyst Intern at Intelcom, you will help evaluate volume and density fluctuations to support proactive planning, while identifying areas suitable for electric vehicles. This is a highly data-focused role requiring strong Excel skills and ideally familiarity with Power BI. 

 
Responsibilities 

  • Analyze volume fluctuations to support proactive planning. 
  • Identify density variations and provide actionable insights. 
  • Assess areas suitable for efficient electric vehicle coverage. 
  • Conduct data analyses and generate reports using Excel. 
  • Create and maintain Power BI dashboards and reports. 
  • Extract and analyze data from Snowflake using SQL. 
  • Collaborate with various departments to collect and harmonize data. 
  • Automate daily reports and improve analytical processes. 
  • Present findings and recommendations to management. 
  • Communicate regularly with stakeholders across Canada. 
  • The role involves daily (or regular) communication with pan-Canadian stakeholders. 

Qualifications 

  • Currently pursuing a degree in Data Science, Statistics, Mathematics, AI, or a related field. 

  • Excellent proficiency in Microsoft Excel and Power BI. 

  • Knowledge of Python, SQL, R, and Streamlit is an asset. 

  • Strong analytical and problem-solving skills. 

  • High attention to detail and strong organizational skills. 

  • Ability to work independently and as part of a team. 

  • Strong collaboration and communication skills. 

#LI-DNI #IG-DNI 

Intelcom is a leading last-mile carrier in the e-commerce sector. Our teams across Canada as well as our network of independent contractors contribute to Intelcom’s daily operations.

Our goal is simple: in a constantly evolving business sector, we don't just follow, we get ahead. In addition to standing out through innovative services and delivery methods, Intelcom is also undergoing a technological transformation where the integration of customer experience and logistics technologies are at the heart of its evolution.

At Intelcom, we know experience comes in many forms and are committed to building a culture where difference is valued. We are always looking for talented and diverse individuals to join our teams. With over 60 delivery centers across Canada, we may have the right opportunity for you.

Apply Now.

Key Skills
Data AnalysisExcelPower BISQLPythonRStreamlitData ScienceStatisticsMathematicsAIProblem-solvingReportingLogisticsCommunication
Categories
Data & AnalyticsLogisticsTechnologySoftware