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Data Analytics Intern Relocation Jobs in Calgary, AB

Finning is seeking a detail-oriented and analytical Data Quality Analyst Intern to support critical ... Work alongside experienced data, analytics, and technology professionals. * Develop practical ...

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.

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Data Analytics Intern Relocation information

What is the difference between Data Analytics Intern Relocation vs Data Analyst?

AspectData Analytics Intern RelocationData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, sometimes certifications
Work EnvironmentInternship setting, often temporary, collaborative teamsFull-time, permanent role, more independent responsibilities
Employer & Industry UsageUsed by companies offering internship programs, often in tech, finance, healthcareCommon across industries for ongoing data analysis needs
Search & Comparison IntentPeople exploring internship opportunities, relocation detailsIndividuals seeking full-time data analysis roles

In summary, Data Analytics Intern Relocation focuses on temporary internship roles involving relocation, often for students or recent graduates. Data Analyst positions are full-time roles requiring more experience and offering ongoing employment. The main differences lie in experience level, job permanence, and purpose of the role.

What are some common challenges faced by Data Analytics Interns who relocate for their internship, and how can these be managed?

Relocating for a Data Analytics Internship often presents challenges such as adjusting to a new city, building a professional network from scratch, and adapting to the company's culture and data tools. Interns may find the initial weeks overwhelming as they balance settling in and meeting project expectations. Proactively reaching out to teammates, attending company events, and seeking mentorship can help ease the transition. Many organizations also offer onboarding sessions and resources to support relocated interns, so taking advantage of these can make the move smoother and more rewarding.

What are Data Analytics Intern Relocation programs?

Data Analytics Intern Relocation programs are initiatives by employers to support interns who need to move to a new city or country for a data analytics internship. These programs may provide financial assistance, housing support, or guidance on moving logistics. The goal is to make it easier for interns to transition smoothly and focus on their internship experience. Depending on the employer, relocation packages can vary greatly, so it’s important to ask about available support during the application process.

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

To thrive as a Data Analytics Intern, you need a strong grasp of statistics, data analysis, and foundational programming skills, often supported by coursework in data science, statistics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically expected. Critical thinking, attention to detail, and effective communication make candidates stand out by enabling them to interpret and present data insights clearly. These skills and qualities are crucial for extracting actionable insights from complex data and supporting informed business decisions.
What job categories do people searching Data Analytics Intern Relocation jobs in Calgary, AB look for? The top searched job categories for Data Analytics Intern Relocation jobs in Calgary, AB are:

Data Quality Analyst Intern

Finning

Calgary, AB

Full-time

Posted 7 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.