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

We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible ... Strong proficiency in Python and SQL * Experience with data patterns for AI/LLM systems: retrieval ...

Senior Data Scientist

Calgary, AB · Hybrid

CA$160K - CA$184K/yr

Expertise in Python and SQL. * Advanced proficiency in statistical analysis, machine learning, and data mining techniques. * Proven ability to apply rigorous statistical analysis to solve complex ...

Knowledge and experience with Python, Visual Basic a must * Knowledge of Auto Hotkey is an asset ... Experience working with Apache Airflow, Data pipeline and Data warehousing is a must. * Experience ...

Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

New

Data Analysis and Reporting: * Collecting, organizing, and auditing data from systems like Yardi ... and weekend work. Compensation * A competitive salary * Potential performance bonus: Up to 5% * ...

Data Analysis and Reporting: * Collecting, organizing, and auditing data from systems like Yardi ... and weekend work. Compensation * A competitive salary * Potential performance bonus: Up to 5% * ...

Build pipelines that support both batch analytics and the event-driven data flows behind AI ... Strong proficiency in Python and SQL * Experience with data patterns for AI/LLM systems: retrieval ...

Your role is to create real value for millions of TELUS customers by enabling informed, data-driven ... Hands-on experience in one or more scripting languages (Python, VBA, Apps Script, SQL, or similar ...

GIS Analyst

Calgary, AB

CA$31 - CA$45/hr

Creating and editing spatial data and mapping products and performing junior level geospatial ... GIS Programming experience using technology such as Python, Arcade, R, JavaScript, C#, SQL, and ...

Senior Analyst, CS Strategy and Analytics

Calgary, AB · On-site +1

CA$118K - CA$135.70K/yr

Experience leveraging modern data tool stack (dbt, Databricks, Snowflake) and python to scale analytics. * Understanding of payments business models (e.g., GPV, transaction fees, adoption metrics ...

Connecting prescribing patterns, lab data, and behavioral signals into coherent analytical ... Strong Python proficiency and hands-on experience with statistical modeling libraries * A track ...

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 ...

Main Purpose As a Risk Analyst for Oil you will ensure maintenance and improvement of core PnL data ... Python / SQL coding skills * Oil Exposure Attributes for success * Ownership: Takes responsibility ...

Developer

Calgary, AB · On-site +1

... analytics, automation, and AI-driven workflows. - Develop and maintain backend services using technologies such as C#/.NET, Python, Django, Azure Functions, and SQL. - Design and optimize data ...

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Weekend Python Data Analyst information

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

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:

Data Scientist (Credit Risk Modelling)

Farm Credit Canada

Calgary, AB • Hybrid

Full-time

Posted 14 days ago


Job description

Closing Date (MM/DD/YYYY):

06/04/2026

Worker Type:

Permanent

Language(s) Required:

English

Term Duration (in months):

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :

$92,310 - $124,890

Why FCC?

At FCC, we're proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide.

Here's what you can expect when you join our team:

  • Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programs

  • Purpose-driven work: We build strong relationships, share knowledge and support the people who feed the world

  • Growth: Learning and development opportunities to help you thrive

  • Hybrid work options

-

How you will make an impact

As a Data Scientist, you'll focus on building and improving tools to help FCC understand and manage credit risk. Working with complex data, you'll design and validate analytical models that directly support risk management and datadriven decision making. Your work will help assess, monitor, and mitigate credit risk throughout FCC, as models are implemented in real-world operations through close collaboration with business and technology teams. You'll deliver clear, actionable insights that inform strategic and operational decisions and drive measurable improvements in portfolio risk outcomes.

Whatyou'lldo

  • Design, develop,validate, andmaintaincredit risk models, includingInternal Rating and Operational Credit Risk Models,Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD), and analyze how these components interact.

  • Unlock insights from complex internal and external data to support datadriven decisionmaking.

  • Apply advanced analytics techniques (e.g., statistical modeling, machine learning, forecasting) toidentifyrisks and opportunities.

  • Translate complex analytical outputs into clear, practical insights for nontechnical stakeholders.

  • Collaborate with business leaders, technology teams, and external partners to implement analytics solutions in production.

  • Apply strong analytical judgment and rigor to reduce ambiguity and support strategic and operational decisions.

Whatyou'llbring to the team

Required qualifications

  • Bachelor's degree in finance, economics, mathematics, statistics,actuarial science,computerscience, agriculture, or a related field.

  • 4+ years of experience in data science, analytics, orrisk modeling, including experience indevelopingcredit riskmodels.

  • Strong understanding ofInternal Rating,PD, LGD, and EAD, and their role in credit risk measurementframeworks, includingIFRS 9 and Economic Capital.

  • Proven experience building,validating, and interpreting statistical or predictive models.

  • Strong foundationin statistics, mathematics, and analytical problemsolving.

  • Proficiencywith tools such as SQL, SAS, R, Python, Power BI, or similar technologies.

  • Ability to communicate complex analytical concepts clearly and influence decisionmaking.

  • Strong collaboration and communication skills in crossfunctional environments.

  • Strong written communication skills, with experience producing clear, high-quality model development and validation documentation

  • Preferred qualifications

  • Experience working with large, complex datasets (structured and unstructured).

  • Exposure to cloud environments and analytics platforms (e.g. AWS).

  • Experience supporting domains such as risk management, marketing and pricing, economics, finance, or strategy.

  • Experience mentoring or providing technical leadership to other analytics professionals.


Not sure you meet every requirement? We encourage you to apply anyway.

You belong here
At FCC, we're committed to creating an inclusive, equitable and accessible workplace - one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we're dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives.
We encourage qualified applicants to apply, including members of these four employment equity groups:
Indigenous Peoples
Members of visible minority groups
Persons with disabilities
Women

Accessibility and accommodations

To support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: TalentSupplyRecherch@fcc-fac.ca. An HR partner will respond and work with applicants who request a reasonable accommodation. Information received in relation to accommodation requests will not impact hiring decisions.