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Data Analyst Student Jobs in Alberta (NOW HIRING)

As a student at PCL, you will get the opportunity for challenging work assignments in a supportive ... Collect, clean, and validate sustainability and GHG data, maintain datasets, analyze, and create ...

Analyze, develop, and execute action plans to improve department efficiency and data integrity ... The Co-op Student will be involved in performing simple design, repeating equipment issue analysis ...

Co-op Student, Tax WHO WE ARE Our Power, Your Possibilities At TransAlta , we don't just generate ... tax research, data analysis, and other ad hoc tax projects as assigned ABOUT YOU * Must be ...

Co-op Student, Tax WHO WE ARE Our Power, Your Possibilities At TransAlta , we don't just generate ... tax research, data analysis, and other ad hoc tax projects as assigned ABOUT YOU * Must be ...

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Data Analyst Student information

Can I be a data analyst with no experience?

Data analyst roles often require some knowledge of data analysis tools like Excel, SQL, or Python, but many entry-level positions are open to candidates with little or no experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or internships can improve your chances of starting as a data analyst without prior experience.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. Skills in data visualization, critical thinking, and domain knowledge remain valuable, and analysts who adapt by learning tools like SQL, Python, or Tableau will continue to be in demand.

What are the key skills and qualifications needed to thrive in the Data Analyst Student position, and why are they important?

To thrive as a Data Analyst Student, you need a solid understanding of statistics, data interpretation, and foundational programming skills, often supported by coursework in mathematics, computer science, or related fields. Familiarity with tools such as Microsoft Excel, SQL, Python, or R as well as data visualization platforms like Tableau is highly advantageous. Strong analytical thinking, attention to detail, and effective communication skills make candidates stand out when translating complex data into actionable insights. These competencies are crucial for accurately analyzing information, presenting findings, and contributing meaningfully to data-driven projects.

Is 30 too late for data science?

As a data analyst student, starting a career in data science at age 30 is feasible, as many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with building a strong portfolio and gaining practical experience. Age is less important than skill development and continuous learning in the data science industry.

What types of projects or tasks can a Data Analyst Student expect to work on during an internship or entry-level position?

As a Data Analyst Student, you can expect to assist with tasks such as cleaning and preparing datasets, conducting basic data analyses, and creating visualizations to help interpret trends. You may also support more senior data analysts with research, reporting, or automating routine data processes. These responsibilities offer practical exposure to real-world data challenges and foster collaboration with cross-functional teams, such as marketing or finance. This hands-on experience not only sharpens your technical abilities but also enhances your problem-solving and communication skills, preparing you for advanced roles in data analytics.

What does a student data analyst do?

A student data analyst collects, organizes, and examines data to identify patterns and support decision-making. They often use tools like Excel, SQL, or Python and may work on projects related to business, marketing, or research while developing their analytical skills. This role typically involves learning data visualization and reporting techniques under supervision.

What is a Data Analyst Student job?

A Data Analyst Student job is typically an internship or entry-level role designed for students who are learning data analysis. In this role, you assist with gathering, cleaning, and analyzing data to support business decisions. You may work with tools like Excel, SQL, Python, or visualization software to create reports and insights. This position helps build practical experience and develop analytical skills for a future career as a Data Analyst.

What are popular job titles related to Data Analyst Student jobs in Alberta? For Data Analyst Student jobs in Alberta, the most frequently searched job titles are:
Infographic showing various Data Analyst Student job openings in Alberta as of July 2026, with employment types broken down into 85% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.
Data Science Student

Other

Posted 13 days ago


PCL Construction rating

7.0

Company rating: 7.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

The future you want is within reach. 
At PCL, we build the places where life happens and find camaraderie in the process. We're a community of builders committed to building better communities. That's why we're always looking ahead, and not just to the next project or what's next in our industry.  
We're also looking at what's next for you and how we can help you build a career you're proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.  


We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is availablefor 8 or 12 months starting in September, 2026.This position willbe under the direct supervision of the Manager, Data Science

Remote work not available for this position.

 
As a Data Science Student, you will contribute to our team by: 

Responsibilities

   Gain proficiency in exploratory data analysis, perform it, and present insights. 
   Prepare data sets for visualization and machine learning modeling. 
   Train machine learning systems using data annotation and benchmarking techniques. 
   Help your colleagues assess AI/ML model performance and propose paths for potential improvement. 
   Prepare data visualizations using industry-leading tools to summarize results for stakeholders. 
   Document your results - tell the story of the work, the successes, and the lessons-learned for posterity. 
   Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise. 


This position has a twist. Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you: 
   Develop a proposal 
   Engage with the right people to inform your work 
   Build your prototype or visualization 
   Assess and present the results 

Qualifications

   Currently enrolled in a postsecondary program 
   You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good fit regardless. 
   Analytical skills - ability to quickly analyze data to identify and visualize key insights - as evidenced by coursework, projects, or research requiring the analysis of large datasets. 
   Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine. 
   Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us.  We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools. 
   Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you'll find it important to be able to communicate appropriately with both as needed. 

Next Step: 
Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview. 
PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.

The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants.  We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
Should you require an accommodation during the application process, please contact us at careers@pcl.com with the position and location you are interested in.  
Together, we can build success and a better future. Let's get started! 
 


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