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Data Analyst Intern Jobs in Edmonton, AB (NOW HIRING)

Data Analyst Intern information

See Edmonton, AB salary details

$5

$19

$26

How much do data analyst intern jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data analyst intern in Edmonton, AB is $19.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $20.19 per hour, depending on experience, location, and employer.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

What is the difference between Data Analyst Intern vs Data Scientist Intern?

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analyst jobs in Edmonton, AB?

The most popular types of Data Analyst jobs in Edmonton, AB are:

What are popular job titles related to Data Analyst Intern jobs in Edmonton, AB?

For Data Analyst Intern jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Data Analyst Intern jobs in Edmonton, AB look for?

The top searched job categories for Data Analyst Intern jobs in Edmonton, AB are:

What cities near Edmonton, AB are hiring for Data Analyst Intern jobs?

Cities near Edmonton, AB with the most Data Analyst Intern job openings:

Infographic showing various Data Analyst Intern job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $40,402 per year, or $19.4 per hour.

Senior Analyst, Business Controls & Data Analytics

Edmonton, AB • Hybrid

CA$53.92/hr

Full-time

Posted 6 days ago


Job description

Highlights of the job

We are hiring a full time, permanent Senior Analyst, Business Controls & Data Analytics working out of Edmonton, AB.

At this time, we are accepting applications from both internal and external candidates. Internal EPCOR Employees please ensure that you are using your “@epcor.com” email address.

We're seeking a strategic and analytical Senior Data Analyst to support Customer Operations through data-driven insights, performance metrics, dashboards, and reporting. This role plays a key part in workforce planning, performance management, and strategy development. You’ll evaluate system data, identify trends, and benchmark against industry standards to optimize Customer Operations and ensure compliance with regulatory timelines. This role also supports cross-functional initiatives across Meter Data and Billing, Meter Operations, and Customer Connections.

What you’d be responsible for

  • Providing input to the Meter Data and Billing team business plans and directions, ensuring an appropriate understanding of the Meter Data and Billing team strategy
  • Developing, implementing and reviewing reporting, metrics and projects to ensure compliance with policies, standards, regulatory requirements and the mitigation of risks
  • Facilitate needs workshops with clients to translate business problems into data visual recommendations and analytical solutions.
  • Conducting high level analyses, tracking, monitoring and reporting of operational metrics to provide recommendations into financial decisions, process improvements, regulatory filings, management reporting and data governance completed within established timelines
  • Representing Meter Data and Billing in projects and initiatives that require analytical experience and knowledge of Customer Operations
  • Acting as a leader to other team members and providing guidance on department initiatives
  • Researching, designing and leading the implementation of new processes, work practices, tools and system requirements necessary to achieve performance improvement
  • Manage procedure and dashboard documentation and ensure consistent process integration across teams according to EPCOR standards

What’s required to be successful

  • Degree in Economics, Data Science, Statistics, Business, Computer Science or Engineering is required
  • 4-6 years demonstrated analytical skills in a utility business environment
  • 2 years leadership experience in a direct supervisory, business analyst or project management role
  • Expert level skills in analytics, reporting, metrics design and data visualization
  • Proficiency in Word, Excel, Power BI (or similar data analytics platforms), SQL, Python, Databricks are essential
  • Intermediate knowledge of the Settlement System Code (AUC Rule 021) and the Tariff Billing Code (AUC Rule 004)
  • Experience working in a regulated utility
  • Understanding of project management and change management
  • Experience implementing machine learning models to initiate improvements and support decision making is considered an asset
  • Excellent problem-solving skills with a focus on continuous improvement

As our ideal candidate, you bring strong analytical thinking, attention to detail, and a passion for using data to drive better business decisions. You take initiative, communicate clearly and confidently across all levels of the organization, and you thrive in collaborative, cross-functional environments. Your work is consistently accurate, high-quality, and thoughtfully executed. Your ability to translate complex data into actionable insights makes you a valuable partner in achieving operational excellence.

Other important facts about this job

Jurisdiction: CSU52

Class: P2

Wage: Starting from $53.92 per hour (Final Wage and step will be determined at the time of selection)

Hours of work: 80 hours biweekly

This position is eligible for the hybrid “Where we Work” program

This position may be eligible for EPCOR’s hybrid work program. This position is open to Internal applicants:

This role offers flexible work arrangements under EPCOR's Where We Work Program. You'll primarily work from home three days a week, coming into the office as needed. Tuesdays and Wednesdays will be spent in the office but are subject to change.

 

Application deadline: August 28, 2026

Learn more about Working at EPCOR!

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Please note the following information:

  • A requirement of working for EPCOR is that you are at least 18 years of age, successfully attained a high school diploma (GED, or equivalent level of secondary education) and legally entitled to work in Canada. (A copy of a valid work permit may be required.)
  • If you are considered for the position, clearance on all applicable background checks (which may include criminal, identity, educational, and/or credit) and professional reference checks is required. Some EPCOR positions require an enhanced level of background assessment, which is dictated by law. These positions require advanced criminal record checks that must also be conducted from time to time after commencement of employment.
  • A technical/practical assessment may be administered during the selection process and this exercise will be used as a part of the selection criterion.