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Intern Python Data Analyst Jobs in Calgary, AB (NOW HIRING)

Finning

Data Quality Analyst Intern

Calgary, AB

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 ...

Capital Power

Compliance Intern

Calgary, AB · On-site +1

Assistingin data analysis and validation to support trade surveillance and reporting activities ... Experience with Power BI, Python, or SQL is an asset. * Ability to conduct regulatory research and ...

Capital Power

Sr. Analyst, Market Data

Calgary, AB

Apply risk management systems and analytical tools (ETRM, Excel, Python, R) to build, validate, and maintain pricing models and data workflows. Query and integrate market data using SQL and data APIs ...

ShyftLabs

Data Engineer

Calgary, AB

Write clean, efficient, and maintainable SQL and Python code to transform raw data into curated, analysis-ready datasets. * Build reliable transformation workflows that support analytics, reporting ...

Slrconsulting

Environmental Data Manager

Calgary, AB · On-site

CA$70K - CA$90K/yr

Experience in environmental field sampling, chemistry, analytical data validation, groundwater ... Python, R or similar). * Experience with designing and automating digital workflows. * Excellent ...

Deloitte

Data Science Manager

Calgary, AB

... data analysis and modeling using Python. • Experience with databases and programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration. • Experience with cloud ML ...

Hexagon

Systems Analyst

Calgary, AB

Determining meaningful approaches to test set-up, test automation, test execution, data collection ... Proficiency in C++ programming, Matlab/Simulink simulation and modelling, and Perl, Python, or ...

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All JobsIntern Python Data Analyst JobsIntern Python Data Analyst Jobs in Calgary, AB

Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

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

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

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

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
What are the most commonly searched types of Python Data Analyst jobs in Calgary, AB? The most popular types of Python Data Analyst jobs in Calgary, AB are:
Intern Python Data Analyst jobs near you

Data Quality Analyst Intern

Finning

Calgary, AB

Full-time

Posted 8 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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