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Data Analytics Jobs in Edmonton, AB (NOW HIRING)

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...

This role will be a key resource in our Business Analytics Practice. This role will be client facing, innovating with solutions from the Microsoft Data Platform stack including Fabric, Azure Synapse ...

As a Pension Analyst, you play a key role in ensuring the accurate and timely administration of ... Maintaining member records and data, ensuring information is complete, current, and accurately ...

New

As a Pension Analyst, you play a key role in ensuring the accurate and timely administration of ... Maintaining member records and data, ensuring information is complete, current, and accurately ...

New

Transportation Analyst

Edmonton, AB · On-site +1

CA$85K - CA$142K/yr

Utilize Transportation Management Systems ( TMS ), reporting tools, and data analytics platforms to generate actionable business insights. * Lead or support projects focused on logistics optimization ...

New

Transportation Analyst

Edmonton, AB · On-site +1

CA$85K - CA$142K/yr

Utilize Transportation Management Systems ( TMS ), reporting tools, and data analytics platforms to generate actionable business insights. * Lead or support projects focused on logistics optimization ...

New

Quality control of year-end data input and verification of program output, including Annual Benefit ... Strong analytical, mathematical, and problem-solving skills. * Proficient working knowledge of ...

Quality control of year-end data input and verification of program output, including Annual Benefit ... Strong analytical, mathematical, and problem-solving skills. * Proficient working knowledge of ...

Design and develop the enterprise analytics data warehouse (or equivalent technology). Build and maintain ETL pipelines that harvest data from operational systems and load the data into the warehouse.

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

... depth data analytics, model development, risk programming and presentation to senior management. Prerequisites: * Masters in a relevant field such as Financial Engineering, Finance, Statistics ...

... depth data analytics, model development, risk programming and presentation to senior management. Prerequisites: Masters in a relevant field such as Financial Engineering, Finance, Statistics ...

This role will also be responsible for analyzing and evaluating data for accuracy, updating master data as well as troubleshooting and resolving problems related to procurement master data. Another ...

Showing results 21-40

Data Analytics information

See Edmonton, AB salary details

$43K

$100.9K

$153K

How much do data analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analytics in Edmonton, AB is $100,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Edmonton, AB? The most popular types of Data Analytics jobs in Edmonton, AB are:
What are popular job titles related to Data Analytics jobs in Edmonton, AB? For Data Analytics jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Edmonton, AB look for? The top searched job categories for Data Analytics jobs in Edmonton, AB are:
What cities near Edmonton, AB are hiring for Data Analytics jobs? Cities near Edmonton, AB with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $100,887 per year, or $48.5 per hour.

Full-time

Re-posted 25 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 available for 8 or 12 months starting in September, 2026. This position will be 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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