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Added 37 mins ago
Analyst Solutions (Appian Developer)
Independent Electricity System Operator
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The energy sector is rapidly evolving, offering exciting new opportunities for those who want to make a difference.
Added 1 hour ago
Investment Banking Analyst/Associate (Future Opportunities)
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Full-time
The Analyst/Associate position will offer the opportunity to gain significant business development and transaction experience. Drawing on previous experience, the ideal candidate will have…
Added 2 hours ago
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Business Analyst – Senior - RQ11545
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Business Analyst – Senior - RQ11545
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Added 6 hours ago
Business Analyst – Senior - RQ11545
S M Software Solutions Inc
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Added 7 hours ago
Financial Crime Analyst
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Arc'teryx Equipment

People Data Analyst Co-Op Student

North Vancouver, BC, Canada

Job type: Internship
Apply by: Mar 27, 2027
Working hours: 40 hours per week
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

Department: People & Culture

Reports to: Senior Data Analyst, People Analytics

Location: North Vancouver, BC - This role is primarily based out of our North Vancouver office, and is open to hybrid remote work

Work Arrangement: Flexible, between in-office and home

Pay Range: $42,100 - $55,100; pay is dependent on year of study and related experience

Duration: Eight (8) months, Jan 4th, 2027 – August 13th, 2027

Hours Per Week: 40 hours per week, M-F

Your Co-Op Opportunity at ARC’TERYX:

As a People Data Analyst Co-op Student, you will join the Global People Analytics team to help transform people data into meaningful insights, clear stories, and practical intelligence for People & Culture partners. You will support exploratory analysis, data science opportunities, statistical analysis, and insight storytelling that helps teams better understand the employee experience and make more informed decisions with tools like Power BI, SQL, Python and Databricks. This is an exciting opportunity to learn how people analytics, people science, data storytelling, automation, and emerging AI tools come together in a fast-moving, purpose-driven organization.

Meet Your Future Team:

The Global People Operations team provides Total Rewards, People Systems and People Analytics, Automation, and AI services. We play a critical role in scaling the People and Culture function and enabling the business. We partner across all areas to evolve people practices and maintain strong alignment with the needs of our growing, global organization.

If you were a People Data Analyst Co-Op Student now, here are some of the core activities you would be doing:

Applying statistical methods and data science techniques to explore workforce data, identify trends, patterns, outliers, and relationships.

Contributing to advanced analytical use cases, such as predictive modeling, segmentation, correlation analysis, and early hypothesis testing to explore emerging workforce questions.

Experimenting with AI and automation tools to make analytics discovery faster, clearer, and more engaging.

Translating data findings into clear, compelling visual stories that make workforce insights accessible.

Assisting with research design and insight development, including framing questions, reviewing relevant context, testing hypotheses, and translating findings into practical recommendations.

Learning how to work responsibly with workforce data, including privacy, fairness, quality, and trust.

Here are some of the things you will learn by the end of your Co-Op placement:

You will gain hands-on experience building end-to-end data pipelines and a predictive machine learning model using industry-leading cloud technologies including Azure, Databricks, and Power BI.

You will develop a strong understanding of how people analytics drives strategic workforce decisions, from automating data processes to delivering executive-level insights that influence how an organization attracts, retains, and develops its people.

You will leave with practical experience across the full analytics lifecycle. From raw data ingestion and modelling to stakeholder-facing dashboards and recommendations, all within a large-scale HR systems transformation.

Are you our next People Data Analyst Co-Op Student?

You are currently enrolled in a co-op eligible program in data science, statistics, business analytics, computer science, psychology, economics, HR, or a related field.

You are curious about people, data, and the stories hidden inside numbers and patterns.

You are comfortable applying statistical methods and data science techniques to predict outcomes, detect patterns, and translate findings into clear, actionable recommendations for business stakeholders.

You have some experience with statistics, Excel, Power BI, SQL, Python, R, or another tool for exploring and analyzing data.

You enjoy asking “why,” testing ideas, and using data to discover what might be happening beneath the surface.

You can turn analysis into clear visuals, notes, or simple stories that help others understand what matters.

You enjoy learning new tools, experimenting, solving problems, and building confidence through feedback.

You are thoughtful with sensitive information and understand why privacy, fairness, and trust matter when working with people data.

Your passion for your work is paralleled by your passion for getting outside and living it.

Compensation:

The salary range for this role is CAD $42,100 - $55,100; Individual pay is determined by factors such as program of study, year of study, job-related skills, and relevant experience.

Applications for this position will be accepted until Oct 12 at 9:00am PT.

Equal Opportunity

Arc’teryx is committed to actively creating and fostering a culture of inclusivity where voices are heard, people are seen, and values are respected. We care about the uniqueness of our applicants, employees, and guests, and we do so in a safe space fueled by curiosity and acceptance.

Creating an inclusive workplace is connected to our core value Do Right while also having the added benefit of helping make our business better. We believe inclusion helps us to create a healthier, happier workplace, drive creativity and innovation, and reflect the communities where we operate.

All applicants, employees, and guests can expect equality of opportunity and fair treatment in alignment with our values.

Leave it Better

We believe that the mountains transform us, that how we adventure matters, and that there’s always a better way.

Join us in creating positive change in ourselves, our communities, and the world.

Live it. Get out there - the mountains make us better

Disruptive evolution. In pursuit of better. Always.

Commit. We set bold objectives and see them through.

Apply About employer

More about this job

Responsibilities

Analyze workforce data using statistical and data science methods to identify trends, patterns, outliers, and relationships, and contribute to predictive modeling and other advanced analytical work. Translate findings into clear visual stories and practical recommendations, while exploring AI and automation tools and handling sensitive people data responsibly.

Requirements

Applicants must be enrolled in a co-op eligible program in data science, statistics, business analytics, computer science, psychology, economics, HR, or a related field. They should have some experience with statistics and data analysis tools such as Excel, Power BI, SQL, Python, or R, and be able to communicate findings clearly while respecting privacy, fairness, and trust.

Skills

Statistical Analysis
Data Science
Predictive Modeling
Data Visualization
Data Storytelling
Power BI
SQL
Python
R
Excel
Databricks
Azure
Data Pipelines
Machine Learning
Research Design
Data Privacy

Visa sponsorship

Not detected in the job text

Keywords

People Analytics
Workforce Data
Statistical Analysis
Data Science
Predictive Modeling
Segmentation
Correlation Analysis
Hypothesis Testing
Data Storytelling
Data Visualization
Research Design
AI
Automation
Power BI
SQL
Python
R
Excel
Azure
Databricks
Data Pipelines
Machine Learning
Data Ingestion
Data Modeling
Dashboards
People And Culture
Employee Experience
Data Privacy
Data Fairness
Data Quality

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