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Full Stack Data Analyst Jobs in Calgary, AB (NOW HIRING)

Finning is seeking a detail-oriented and analytical Data Quality Analyst Intern to support critical ... achieve their full potential. As a company, we continuously strive to enhance our outreach to ...

New

... data-driven Cloud go-to-market (Cloud GTM). Our platform and team help customers identify the right ... Your day-to-day work spans the full stack: TypeScript on both the backend (Node.js) and frontend ...

... stack, including component architecture, state management, API contracts, and data flow design ... on frontend or full-stack development. Advanced experience with JavaScript and TypeScript.

Data Architect

Calgary, AB · Hybrid

CA$128K - CA$147K/yr

... analytics across the company. * Engineering best practices. Apply software engineering principles to the data stack: dbt or similar transformation frameworks, Git, CI/CD, environments (dev/stage/prod ...

AI-assisted analytics, search, and generative AI Technologies used vary by team and include ... Experience with cloud-native development, full-stack or web application development, or data ...

Full-Stack Application Development * Develop modern full-stack web application capabilities using ... Help integrate applications with data services, AI-enabled capabilities, workflow configurations ...

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Full Stack Data Analyst information

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What job categories do people searching Full Stack Data Analyst jobs in Calgary, AB look for? The top searched job categories for Full Stack Data Analyst jobs in Calgary, AB are:
Infographic showing various Full Stack Data Analyst job openings in Calgary, AB as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Quality Analyst Intern

Finning

Calgary, AB

Full-time

Posted 2 days ago

New


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.