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

Proficiency in Excel, Python and data analysis tools; exposure to market models is an asset. How To Apply and Next Steps Capital Power only accepts resumes via online application atwww.capitalpower ...

Senior GIS Analyst

Calgary, AB ยท On-site

CA$95K - CA$125K/yr

A Day in the Life As a Senior GIS Analyst, you'll be responsible for leading multiple projects ... data collection services * FME or ESRI model builder * Programming experience such as Python ...

The successful candidate will help safeguard Pembina's systems, data, and infrastructure while ... Experience with cloud platforms (Azure, AWS, GCP), scripting (Python/PowerShell), and ITSM tools (e ...

... Python * Good experience with Large Language Model technologies * Experience within Data ... Data Analytics * Quantitative Analysis * Web Scraping * Model Development Responsibilities:

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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:

Sr. Analyst, Energy Markets

Capital Power

Calgary, AB โ€ข On-site, Remote

Full-time

Posted 22 days ago


Job description

A little about Capital Power

Capital Power (TSX: CPX) is dedicated toPowering Change by Changing Power. This north star guides our ambitions, focus, and actions as we transform our energy system. We're a growth-oriented North American energy company headquartered in Edmonton, Alberta. Our team safely delivers, builds, and creates balanced energy solutions for customers across North America.

Our people are at the core of our journey to deliver reliable, affordable, and lower-carbon power solutions. We provide purpose-driven work in a safe and inclusive environment, and we live by our North Star. With us, your contributions matter - we want you to be empowered to innovate, collaborate, and ultimately drive results. We're here to partner with you so you can learn, grow, and forge a career that's meaningful to you. Join us in powering North America!

Your Opportunity:

The Senior Analyst, Energy Markets provides expert analysis and market insight to support Capital Power's investment, asset management, commercial, and trading decisions. This role is accountable for market fundamentals, electricity price forecasts, asset gross margin projections, and strategic market assessments across assigned North American power markets. The Senior Specialist leads market assumptions development across teams, directs consultant/internal work, and delivers clear, decisionready recommendations to senior leadership

You Will Contribute to Our Team By:

  • Owning longterm fundamental power market forecasts (energy, capacity, ancillary services, and environmental products) for assigned regions.

  • Reviewing, developing, and defending key market assumptions including supply, demand, fuel prices, emissions pricing, policy impacts, and cost of new entry (CONE).

  • Supporting assetlevel gross margin projections, dispatch modeling, and financial proformas to support budgeting, longterm planning, and project valuations.

  • Supporting business development and expansion initiatives by delivering price forecasts, dispatch analysis, and due diligence assessments for new investments.

  • Providing strategic market insights to Commercial and Supply & Trading teams to support origination, hedging, and contracting strategies.

  • Coordinating work across internal teams, managing external consultants, including scope definition, assumption review, quality control, and interpretation of results.

  • Preparing and delivering presentations and briefings to cross-functional teams, senior management and executive teams on market outlooks, risks, and opportunities.

  • Monitoring regulatory, policy, and market design developments, assessing their commercial, financial impacts and incorporating their implications into price projections.

  • Designing and implementing market dashboards for consumption across the company.

What You Will Bring to the Role:

Education & Experience

  • Degree in Economics, Engineering, Mathematics, Statistics, or Commerce.

  • Master's degree or professional designation (or progress toward one) is an asset.

  • 5+ years of experience in North American power and gas markets.

  • Demonstrated experience forecasting wholesale fundamental electricity prices and asset revenues.

  • Proven ability to translate complex market dynamics into actionable business recommendations.

Technical & Professional Skills

  • Strong understanding of power market structures and regulatory frameworks.

  • Ability to work independently, manage ambiguity, and exercise sound judgment.

  • Excellent written and verbal communication skills, including executivelevel presentations.

  • Advanced quantitative and financial modeling skills (CONE, LCOE, dispatch, gross margin)

  • Proficiency in Excel, Python and data analysis tools; exposure to market models is an asset.

How To Apply and Next Steps

Capital Power only accepts resumes via online application atwww.capitalpower.com/careers. If you choose to submit your resume by any other means, we cannot guarantee that your application will be considered for vacancies.
Applicants with disabilities who require a reasonable accommodation to complete their application can request accessible formats, communication support, or other accessibility assistance by contactingcareers@capitalpower.com.
Capital Power is committed to providing a fair and transparent hiring process. We recognize and embrace the value of diversity and hire employees with the appropriate skills, experience and knowledge for each position.
Thank you for taking the time to apply and expressing interest in powering a sustainable future with Capital Power! We wish that we could personally respond to everyone who applies; however, it is our practice to contact only those individuals selected for interviews.