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Data Analytics Internship Jobs in Calgary, AB (NOW HIRING)

... analytics and data-driven applications THE INDIVIDUAL The ideal individual will have the following ... application development (including internships, co-op, or personal projects). * Strong ...

Electrical Applications Specialist

Calgary, AB ยท On-site

CA$69K - CA$85K/yr

Relevant academic, internship, co-op, and project-based experience will be considered. Required ... Your strong analytical thinking and ability to solve complex problems will be key in navigating ...

Delivery Engineer - Canada

Calgary, AB ยท Remote

CA$80K - CA$120K/yr

... Analytics) is preferred. * Basic understanding of software development, system architecture, and ... data technologies, or machine learning through coursework, internships, or project experience is a ...

Delivery Engineer - Canada

Calgary, AB ยท On-site

CA$80K - CA$120K/yr

... Analytics) is preferred. * Basic understanding of software development, system architecture, and ... data technologies, or machine learning through coursework, internships, or project experience is a ...

Showing results 21-40

Data Analytics Internship information

See Calgary, AB salary details

$21K

$86.1K

$175K

How much do data analytics internship jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analytics internship in Calgary, AB is $86,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $124,000.00 per year, depending on experience, location, and employer.

What is a data analytics internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What are the key skills and qualifications needed to thrive as a data analytics intern?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What types of projects do data analytics interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.

What is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What does a data analytics internship do?

A data analytics internship involves assisting with data collection, cleaning, and analysis to support business decision-making. Interns often use tools like Excel, SQL, or Python and gain experience in data visualization and reporting under supervision. The role provides practical skills in data analysis and understanding of industry-standard software.

What are the most commonly searched types of Data Analytics jobs in Calgary, AB?

The most popular types of Data Analytics jobs in Calgary, AB are:

What cities near Calgary, AB are hiring for Data Analytics Internship jobs?

Cities near Calgary, AB with the most Data Analytics Internship job openings:

Infographic showing various Data Analytics Internship job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $86,112 per year, or $41.4 per hour.

Research Associate, Semiconductors & AI Infrastructure - 26229D

Enverus

Calgary, AB โ€ข On-site

Full-time

Re-posted 7 days ago


Job description

Research Associate, Utilities & AI Infrastructure

Why YOU want this position

At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.

We are the most trustedenergy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.

The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.

Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

The Utilities & AI Infrastructure team sits at the intersection of two of the most capital-intensive build-outs in the modern economy: the electrification of the US grid and the explosive growth of AI data-center demand. We produce intelligence products, financial models, and strategic research used across Enverus and by clients navigating this convergence. The work is fast, data-dense, and consequential.

Most research shops hand the hardest problems to the most senior person on the team and have everyone below execute. We do the opposite. Every analyst, including those at entry level, owns their projects end to end and pulls in senior teammates for guidance. That hands-on, problem-by-problem ownership is how you build the judgment to add real value for clients, and it's the single biggest reason people stay on this team.

Performance Objectives

  • Build andmaintain financial models tracking power-demand growth from hyperscaler and co-location data centers across ISO regions.
  • Monitor utility filings, rate cases, interconnection queues, and capacity-expansion plans, and surface what matters for Enverus clients.
  • Conduct primary research: earnings calls, investor days, regulatory dockets, and industry conferences.
  • Synthesize findings into concise written briefs, data tables, and internal memos.
  • Support senior analysts on large research projects, from data collection through publication.
  • Work with Enverus proprietary datasets (PRISM and our market-intelligence platforms) to ground research in primary energy data.

Competitive Candidate Profile

  • A clear communicator. You can turn a filing or earnings transcript into a tight, pointed summary, and explainit so a non-expert gets it.
  • 0 to 3 years in energy, finance, consulting, or a research-intensive role; internship experience counts.
  • Quantitative fluency: comfortable building and auditing Excel models.
  • Genuine curiosity about power infrastructure, AI-hardware supply chains, or energy-transition dynamics.
  • Care about getting the details right; you notice when the numbersdon't tie.
  • Familiarity with SQL, Python, or data tools is a plus, not a requirement.
  • Prior exposure to utility regulation, PJM, ERCOT, or MISO market structure, or data-center real estate.
  • Experience with the sell-side or buy-sideequity-research process.
  • You can form a view and back it up.We're hiring an analyst, not a summarizer.

Why this role

AI infrastructure is one of the most analytically underserved corners of energy right now. You'll have access to proprietary Enverus data most analysts can't touch, work on research that gets read at the executive level andbuild expertise in a space growing faster than almost anything else in the economy.

Employment Type: Full-Time