Road to Data Analyst: My Co-op Adventure at StatCan

Introduction

My co-op journey at Statistics Canada was a thrilling leap into the world of data analysis. For 17 weeks from January to April 2023, I worked as a junior data analyst and had the privilege of being part of a dynamic and intellectually environment that challenged me to expand my problem-solving abilities. Join me as I recount the invaluable experiences gained during my tenure at Statistics Canada, where I delved into the realms of data analysis, data linkage, data querying, and the fascinating world of SQL.

Where it all started

After completing my first co-op term, I wanted to challenge myself with something bigger. So for my 2nd co-op term, I joined Statistics Canada, one of the country’s most data-driven institutions. It was here that I first experienced the scale and complexity of working with large datasets — an experience that shaped how I approach analysis, problem solving, and teamwork.

A New Horizon of Learning:

Stepping into Statistics Canada, I was immediately captivated by the scale of data that surrounded me. It was here that I realized the immense power of information in shaping policies and influencing decision-making. My co-op term began with an intense challenge — adapting to government regulations on data acquisition while also developing the technical and analytical skills needed to succeed in such a data-driven environment.

Working with Big Data:

The heart of my role revolved around data analysis. I worked with multiple large datasets to uncover trends and patterns that contributed to official publications such as TheDaily. Every number told a story, and I learned how important it is to treat data with precision and care. Using statistical methods and structured workflows, I gained a deeper understanding of how analysis supports meaningful conclusions and provides the foundation for public policy.

Data Linkage and Integration: 

A significant part of my work focused on data linkage within internal programs. This meant connecting tax files and historical records with the latest importer/exporter data, then comparing and validating the results. By merging these disparate datasets and harmonizing variables, I saw firsthand how data linkage can unlock new insights and improve forecasting. It was a technical challenge, but also one that highlighted the importance of detail and accuracy in government reporting.

SQL and Power of Data Querying : 

One of the most exciting parts of my co-op journey was learning SQL (Structured Query Language). Through this tool, I was able to extract, merge, and restructure massive datasets into clear outputs. I created queries that grouped data, exported results into Excel, and prepared them for further analysis. SQL quickly became one of my favourite tools — powerful, efficient, and essential for managing large-scale databases.

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The Power of Independence and  Problem-Solving: 

The nature of the work demanded strong problem-solving skills. I tackled complex challenges independently, troubleshooting issues and finding solutions before presenting them. This experience sharpened my critical thinking skills, strengthened my resilience, and gave me confidence in working through obstacles one step at a time.

Embracing the Self-Challenge: 

My co-op trip to Statistics Canada was not just a means of acquiring new knowledge and skills; it was a self-challenge to explore uncharted territories, connect with public service regulations and build connections with colleagues.

(Picture: Lunch with 3 other co-op students at StatCan)

Learn from the Experts: 

Just as important as the technical work was the mentorship I received. Working alongside experienced professionals, I learned how to approach data analysis methodically, apply statistical techniques effectively, and communicate findings clearly. The collaborative environment made it easy to ask questions, share insights, and continuously grow throughout my term.

Conclusion: 

My co-op experience at Statistics Canada was both enriching and transformative. From uncovering patterns in massive datasets, to mastering SQL, to contributing to The Daily, each project became a stepping stone toward professional and personal growth. The challenges pushed me to expand my technical skills while also strengthening critical thinking, communication, and problem-solving abilities. Most importantly, it instilled in me a lasting passion for working with data to solve complex problems and support decisions that impact Canadians every day.

I helped publish two TheDaily articles during my internship at the StatCan.

Activities of multinational enterprises in Canada and abroad, 2020

Trade by exporter and importer characteristics: Goods, 2022

The journey was challenging, but the rewards of continuous learning and personal growth are immeasurable. I now have confidence to deal with large datasets, upkeep a curiosity mindset towards all numerical data and an unwavering determination to continue the road to become a data scientist.

(Picture: Goodbye pizza lunch with the team.)

Please refer to My Resume section for detailed skills and reference from this job, and reach out to me at the contact form or my LinkedIn if you would like to discuss about potiencial job oppotunity.