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

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 ...

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 ...

Support a multidisciplinary team of data scientists, financial analysts, engineers, and developers ... Exposure to Python, ArcPy, or SQL is required. * Any exposure to the oil & gas or energy transition ...

Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R, Alteryx, Microsoft PowerApps is preferred. * Knowledge of data extraction tools and utilities and ...

New

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 ...

Proficiency in Python or similar languages for data processing and analytics. * Experience leveraging AI capabilities and tools (such as Vertex AI) to build machine learning models and AI solutions ...

... data analysis at Mount Royal. The Office collects, analyzes, interprets and reports data and ... The ideal candidate brings a deep technical mastery of SQL, DevOps, Git, Spark, Python, dataflows ...

Thanks for checking us out! We're hiring and looking for our next Paid Media Intern who is ready to ... Whether analyzing data, supporting campaign setup, or reporting on performance, you approach each ...

... 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 ...

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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?

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, Market Data

Capital Power

Calgary, AB • On-site

Full-time

Retirement, PTO

Re-posted 2 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:

OnePermanentFull TimePosition.


TheSr. Analyst, Market Dataowns Capital Power's end-to-end price curve framework within the Risk Group. The role is accountable for the quality, integrity, and governance of all priceand market datacurves used across the commodity portfolio, spanning new curve intake,methodologydesign, system configuration, daily productionand validation, independent price verification (IPV), and governance reporting.

The successful candidate will combine strong quantitative and systems skills with sound professional judgment and a commitment to robustcontrols andwill serve as the subject-matter expert on all matters related to commodityand market datacurves.


You will contribute to our team by:


Key Accountabilities:

Serve as the single point of contact for all newcommodity and market datacurve requestsandmanage the intake process from request through governance approval.

Design, build, calibrate, and document forward price curve models across commodities and delivery points, including directly observable, interpolated, and proxy / spread-to-benchmark approaches.

Own andmaintainthe central curve register, ensuring all curves are catalogued with current attributes, approval status, and scheduled review dates.

Configure andmaintainapproved price curves in ZEMA (data ingestion, quality rules, curve construction logic) and Allegro (curve definition, valuation formulas, P&L attribution); lead UAT and production deployment.

Monitor daily curve production across all curves; investigate and resolve data feed failures, quality alerts, andotherflags within EOD SLAs;maintainand test fallback procedures.

Execute the firm's dailyvalidationandmonthlyindependent price verification (IPV) process; comparecurveoutputs to independent market sources; prepare and distribute IPV reports; escalate material exceptions.

Conduct or coordinate independent validation of all new and materially modified price curve models; issue structured validation reports; track findings to remediation; manage the periodic revalidation schedule.

Prepare and present submissions toRisk OversightCommittee; produce periodic governance reports covering inventory status, open findings, IPV exception trends, and curve performance.

Maintain the model risk and governance framework for price curves in alignment with Model Risk Policy and applicable regulatory guidance; support audits and regulatory examinations.


What you will bring to the role:


Education & Experience:

Post-secondary degree in Finance, Economics, Mathematics, Engineering, or a related field.

Advanced degree (e.g., Master's, PhD) or professional designation (e.g., CFA, FRM, PRM) is an asset.

5-7+ years inriskmanagement, market data, model validation, or quantitative risk in a commodity trading or energy environment.

Hands-on experience building orvalidatingforward price curves, including proxy / spread-to-benchmark methodologies with regression-based parameter calibration.

Direct experience with ZEMA and / or Allegro in a production environment strongly preferred.

Familiarity with model risk frameworks andorganizedcommodity markets (AESO, IESO,CAISO, MISO,ERCOT, PJM, Henry Hub,environmental) preferred.


Technical Skills:

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 (e.g., ICE Data Services, ZEMA, Nodal) to support curve production and validation processes.

Automate repetitive data processes and controls using scripting, with an ability to identify opportunities to streamline manual workflows.

Develop, validate, and maintain pricing methodologies, including proxy/spread-to-benchmark and regression-based approaches, across liquid and illiquid markets.

Demonstrate working knowledge of power market data, forward price curves, and valuation models in regional markets (e.g., WECC, AESO, PJM).

Leverage AI and emerging analytical tools (e.g., Copilot, LLMs, machine learning libraries) to enhance data quality checks, anomaly detection, and reporting efficiency, or demonstrate a genuine curiosity and willingness to explore these tools as they evolve.

Communicate technical content clearly in writing and verbally; able to present pricing governance updates, exception analysis, and model validation findings to committees and senior stakeholders.


Working Conditions:

  • Hybrid office/workfromhome environment.
  • Minimal travel required
  • Candidates must be legally eligible to work in Canada
  • The successful candidate will undergo education verification, reference checks, and a criminal and credit record check

Additional Details:

Capital Power employeesthatrefera successful candidate for this positionare eligible for a$1000Referral Reward!


We believe that supporting employee physical, mental, financial, and social well-being is critical to our success. We offer a comprehensive package including flexible benefits, retirement savings programs, paid time off, and ongoing development opportunities.


This role includes a competitive base salary, annual incentive, and participation in Capital Power's long-term incentive program.


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.