Data Analyst Intern - Fall

Data Analyst Intern 4 Months - Fall 2026

Canada

Posted Wednesday, May 20, 2026 at 4:00 AM | Expires Saturday, June 13, 2026 at 3:59 AM

Dayforce, a global leader in Human Capital Management (HCM) with headquarters in Toronto, Ontario, and Minneapolis, Minnesota, operates across North America, EMEA, and APJ regions. Our Cloud HCM platform, recognized for its unified database and continuous calculation engine, enhances efficiency, productivity, and compliance for global work forces. We are committed to "Making Work Life Better" for employees, customers, and partners worldwide.

As an Intern at Dayforce, you’ll gain real‑world experience with meaningful responsibilities, access to development programs, and the chance to collaborate globally, bringing new ideas and optimizing processes across multiple business units.

Location: Virtual

Duration: Fall 2026 - 4 Months (September 2026 - December 2026)

Availability: Full-time availability of 37.5 – 40 hours weekly is required to be eligible for this opportunity.

• Experience working for one of the fastest growing Human Capital Management technology companies in the world;
  Access to Dayforce’s development programs and resources
• Ability to work with as well as create relationships with members across the globe
• Autonomy to bring forth new ideas and optimize existing structures within the organization
• Meaningful responsibilities, enabling you to obtain real‑world experience
• Dynamic hands-on exposure to multiple business-units and stakeholders across Dayforce

Data analysts are responsible for evaluating data to develop reports and visualizations that identify trends or analytics that help companies make better-informed business decisions. They work with structured data, perform analytics, build appropriate visualizations, and draw conclusions based on empirical evidence rather than gut feel. Good communicators translate findings into business-friendly language. As they increase in seniority, their understanding of statistical concepts becomes more important, guiding their studies and evaluations.

Data analysts focus on "What is the data telling me today or in the past?", data scientists focus on predicting what the data will be in the future.

• Develop reports and visualizations from structured data using Power BI
• Prepare datasets by writing scripts in SQL or Python (must be able to do table joins)
• Create standard measures to help our clients understand the health and efficiency of their organization. Examples of measures include:
  Quality of Hire, Turnover, Absenteeism Rate
• Create research questions, conduct quantitative data analysis, and communicate findings to others including media and academic partners
• Create blog posts to be published on Dayforce’s blog

• Currently pursuing a Bachelor’s degree, Master’s degree, or Post-Graduate Certificate in Data Analytics, Data Science, Statistics, Business Analytics, Computer Science, Economics, Psychology, Industrial‑Organizational Psychology, or a related quantitative field.
• Knowledge of human resources processes and procedures
• Knowledge of people analytics best practices
• SQL
• Data management
• Power BI
• Strong organizational skills
• Learning mindset
• Ability to interpret statistics

• Background in I‑O Psychology
• Background in Economics
• Experience in Databricks (SQL, Python)

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace all individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.