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Data Intern Jobs in Alberta (NOW HIRING)

Finning

Data Quality Analyst Intern

Edmonton, AB · On-site

Finning is seeking a detail-oriented and analytical Data Quality Analyst Intern to support critical data quality initiatives across asset and customer records. This role will play an important part ...

New

Finning

Data Quality Analyst Intern

Calgary, AB · On-site

Finning is seeking a detail-oriented and analytical Data Quality Analyst Intern to support critical data quality initiatives across asset and customer records. This role will play an important part ...

New

Capital Power

Compliance Intern

Calgary, AB · On-site +1

We are currently seeking a Compliance Intern to join our Market & Trading Compliance team for a ... Assistingin data analysis and validation to support trade surveillance and reporting activities.

TalentSphere

CA$60K/yr

Intern Architect / Junior Architect Location: Calgary, Alberta Industry: Architecture & Design Studio Compensation: $60k + depending on experience About the Opportunity An established and design ...

Farther Farms

JOB SUMMARY Based at the Farther Farms' R&D facility in Rochester, NY, the Engineering Intern ... This position will assist with experimental design, execution, data collection, and data analysis ...

D Shell Trading Services Co

Materials and Corrosion Engineering Intern - Scotford - 8, 12 or 16 months Process Engineering ... Before applying, you are advised to read our data protection policy. This policy describes the ...

Shell

Materials and Corrosion Engineering Intern - Scotford - 8, 12 or 16 months Process Engineering ... Before applying, you are advised to read our data protection policy. This policy describes the ...

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All JobsData Intern JobsData Intern Jobs in Alberta

Data Intern information

Is 40 too late for data science?

Data interns and data science professionals can start at any age, including 40 or older. Success in data science depends on skills, such as programming, statistics, and tools like Python or R, rather than age. Many individuals transition into data roles later in their careers through self-study, online courses, and certifications.

What are the key skills and qualifications needed to thrive as a Data Intern, and why are they important?

To thrive as a Data Intern, you typically need foundational knowledge in data analysis, statistics, and programming languages such as Python or R, often supported by coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and SQL databases is commonly expected. Strong attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing meaningfully to projects in a collaborative environment.

Is 23 an hour good for an internship?

For a Data Intern position, $23 an hour is above the federal minimum wage and generally considered competitive for internships in many regions, especially if the role involves data analysis, programming, or using tools like Excel or SQL. However, internship pay varies by location, industry, and company size, so it's important to compare with local standards and the internship's responsibilities.

What does a data intern do?

A data intern assists with collecting, cleaning, and analyzing data to support business decisions. They often use tools like Excel, SQL, or Python and may work under supervision to develop reports, dashboards, or data models. The role provides hands-on experience in data management and analysis within a professional environment.

What are the big 4 internships?

The Big 4 internships refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms provide opportunities in areas such as audit, consulting, tax, and advisory, often targeting students pursuing degrees in accounting, finance, or related fields. Internships typically last 8-12 weeks and may lead to full-time offers for high-performing interns.

What is the difference between Data Intern vs Data Analyst?

AspectData InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time role, responsible for analyzing data and reporting
Employer & Industry UsageInternships in tech, finance, healthcare, etc.Established companies across various industries

The main difference between a Data Intern and a Data Analyst lies in experience and responsibilities. Data Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are more experienced professionals responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What types of projects and tasks can a Data Intern typically expect to work on during their internship?

As a Data Intern, you can expect to be involved in a variety of hands-on projects such as cleaning and organizing datasets, assisting with data collection, and supporting the development of reports or dashboards. You may work closely with data analysts, data scientists, or business teams to help identify trends and uncover insights from raw data. This role often includes learning to use data analysis tools like Excel, Python, or SQL, and contributing to ongoing team projects while gaining exposure to real-world data challenges. Interns are usually given guidance and mentorship, making this a great opportunity to build foundational skills and understand how data-driven decisions are made in the organization.
What are the most commonly searched types of Data jobs in Alberta? The most popular types of Data jobs in Alberta are:
What cities in Alberta are hiring for Data Intern jobs? Cities in Alberta with the most Data Intern job openings:
Data Intern jobs near you
Infographic showing various Data Intern job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Data Quality Analyst Intern

Finning

Edmonton, AB • On-site

Full-time

Posted 2 days ago

Job description

Company:Finning CanadaNumber of Openings:1Worker Type:Temporary (Fixed Term)Position Overview:Finning is seeking a detail-oriented and analytical Data Quality Analyst Intern to support critical data quality initiatives across asset and customer records. This role will play an important part in improving the accuracy, completeness, and reliability of data used by business systems, customer-facing platforms, and digital integrations. The work is structured, repetitive, and detail-focused, requiring someone who can maintain accuracy and consistency while completing a high volume of similar validation and remediation tasks.
Working closely with data, business, and technology teams, you will help identify, investigate, validate, and resolve data issues while contributing to a major business transformation initiative. A significant portion of this role will involve contacting customers by phone to confirm or gather information, so comfort with professional phone conversations, follow-up, and accurate note-taking is essential. This is an excellent opportunity for a student or early-career professional looking to gain hands-on experience in data management, data governance, business systems, and digital transformation.
This role may be based in either Edmonton or Calgary for 4-6 months in duration in a hybrid work environment.
If this interests you , consider applying today!Job Description:
What You'll Do

Key Responsibilities

  • Review, validate, and update asset and customer data across multiple systems.
  • Perform data cleansing and remediation activities to improve data accuracy and completeness.
  • Conductfrequent customeroutreach, primarily byphone, to validate, confirm,and enrichcustomer and assetinformation.
  • Complete repetitive data validation, data entry, and follow-up activities with a high level of consistency and attention to detail.
  • Investigate data discrepancies and identify root causes of recurring data quality issues.
  • Track phone outreach outcomes, customer responses, and required follow-up actions clearly and accurately.
  • Document findings, patterns, and recommendations to support long-term improvements.
  • Maintain accurate records of completed updates and audit trails.
  • Support reporting and measurement of data quality improvements and business outcomes.
  • Collaborate withITand business teams to prioritize and resolve issues.

What We're Looking For

Required Qualifications

  • Currently enrolled in or recently completed a post-secondary program in:Information Technologyor Data Analyticsor BusinessAnalysisor Business AdministrationOr a related field.
  • Proficient with Microsoft Excel and Microsoft Office applications.
  • Strong attention to detail and commitment to data accuracy.
  • Excellent organizational and problem-solving skills.
  • Strong written and verbal communication skills, including confidence making professional phone calls to customers.
  • Comfortableperformingrepetitive, detail-oriented work for extended periodswhile maintainingaccuracy andquality.

Preferred Qualifications:

  • Experience conducting research, data validation,customer outreach
  • Experience or being comfortable with engaging customers via telephone to collect, verify, and update key information.
  • Experience working with databases, SQL,Fabric,Power BI,AI,orrelatedtools.
  • Understanding of data quality, data governance, or master data management principles.
  • Familiarity with ERP, CRM, or enterprise business systems is an asset.
What Success Looks Like
  • Improve the quality and reliability of customer and asset data.
  • Support key business transformation and system migration initiatives.
  • Enhance digital data consumption across internal and external platforms.
  • Identify opportunities to reduce recurring data quality issues.
  • Enable better business decisions through more accurate information.

Why Join Finning?

  • Gain real-world experience working with enterprise-scale data.
  • Contribute to meaningful projects that impact customers and business operations.
  • Work alongside experienced data, analytics, and technology professionals.
  • Develop practical skills in data quality, business process improvement, and digital transformation.
  • Build valuable experience that can support future careers in data analytics, business intelligence, information management, or technology.

Ideal Candidate:We're looking for someone whois comfortable with structured, repetitive work and takes pride in doing it accurately. The ideal candidateenjoys solving puzzles, finding patterns in data, andfollowing through on customer outreach, including regular phone calls, to validate information.If you'rehighly organized,patient, comfortable speakingwithcustomers, and motivated by improvingdataquality, we'd love to hear from you.

At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do notdiscriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities.Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter.

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