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Freelance Python Data Analyst Jobs in Calgary, AB

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 ...

Enabling real-time and batch data processing for analytics and AI use cases Responsibilities ... Strong programming and querying skills (Python, SQL, PySpark) * Experience building production ...

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 ...

Senior Data Engineer

Calgary, AB · Remote

CA$11K - CA$140K/yr

... analytics, education, and access to high-quality supplements. Over 10 million patients rely on ... Deep SQL skills and Python experience applied to data extraction, transformation, and validation

... data collection services * GIS Programming experience using technology such as Python, Arcade, R ... An ability to read, analyze and interpret technical procedures, regulations, drawings and job ...

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:

We are committed to driving impactful changes through data analytics and technology, harnessing our ... NET and/or Python, with extensive experience building scalable APIs and backend services ...

We are committed to driving impactful changes through data analytics and technology, harnessing our ... NET and/or Python, with extensive experience building scalable APIs and backend services ...

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Freelance Python Data Analyst information

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

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

Can you do freelancing as a data analyst?

Freelance Python data analysts can work independently on projects for clients, often using skills in data cleaning, analysis, and visualization with tools like Python and SQL. Freelancing offers flexibility in schedule and project choice but requires self-marketing, client management, and a strong portfolio to succeed.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, making strategic decisions, and communicating insights. The role of a freelance Python data analyst involves skills in programming, statistical analysis, and data visualization, which remain essential despite advancements in AI. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

How much does a Python freelancer make?

A freelance Python data analyst typically earns between $25 and $100 per hour, depending on experience, project complexity, and client budget. Experienced analysts with specialized skills in data visualization, machine learning, or big data tools can command higher rates, often working on short-term or long-term projects remotely.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

Can I be a data analyst with just Python?

A freelance Python data analyst can perform many data analysis tasks using Python libraries such as pandas, NumPy, and matplotlib. However, developing skills in SQL, data visualization, and understanding of business context often enhances job prospects and effectiveness in the role.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
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:
What job categories do people searching Freelance Python Data Analyst jobs in Calgary, AB look for? The top searched job categories for Freelance Python Data Analyst jobs in Calgary, AB are:
Infographic showing various Freelance Python Data Analyst job openings in Calgary, AB as of June 2026, with employment types broken down into 3% Full Time, 93% Part Time, 1% Contract, and 3% Nights. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Deals Desk Analyst, Oil

Trafigura

Calgary, AB

Full-time

Posted 10 days ago


Job description

Main Purpose

As a Risk Analyst for Oil you will ensure maintenance and improvement of core PnL data to increase accuracy and timeliness of the daily trading results. All responsibilities and accountabilities of the role remain based the core principles of risk management, the factors that drive them change on an hour-by-hour, day by day basis as the company discovers new and innovative ways to generate a wide and truly diversified portfolio.

You will be part of the team who is also responsible for the production and reporting of daily trading positions and management P&L, production and monitoring of daily trading P&L and volumetric exposure reports, post deal review and system reconciliation, enter inception PnL for all new trading strategies, and maintain the economics on these strategies throughout the trade lifecycle.

Join the Calgary-based Deals Desk Team, reporting to the Deals Desk Team Lead with professional communication directed to the Global Product Manager.


Key Responsibilities

  • Ability to independently justify the economics in each trading strategy in the oil sector.

  • Understand the forward curve on daily basis for physical and derivative markets to current position and to explain the impact on the trading PnL.

  • Produce daily commentary for board of directors / traders to explain the daily changes in the trading profit and loss due to market changes/change in estimated/actual economics for the physical and derivative oil trading strategies

  • Analyse exposure and report profit and loss including derivatives and physical exposure.

  • Monitor data entry of new business in the Mark to Market System.

  • Ensure all market price risk is captured and hedge actions executed.

  • Assess implication of changes to future physical deliveries, report, and discuss impact of hedge strategy.

  • Creation and maintenance of ad-hoc reports to assist in any area of position reporting /structure/hedging.

  • Full responsibility of data integrity held within the trading systems.

  • Produce comprehensive lookback analysis of Trading strategies, combining key risk metrics with review of historical performance.

  • Liaising with other key departments of Credit, Tax, Accounting and Scheduling to ensure smooth functioning of the day-to-day business translates into accurate reporting on a daily basis

  • User Acceptance Testing (UAT) with IT to constantly improve proprietary Trading and Risk Management systems. Ensuring all basis risk and volumetric positions are correct and appropriate hedge actions taken, and that all executions are correctly allocated within trading system.

Required Qualifications

  • Bachelor or Master's degree in Finance or related field

  • Minimum of 1 year exposure to market risk management in Energy

  • Minimum of1 years of experience in physical & derivatives Energy markets inclusive of its underlying structures and instruments, preferred in the Oil Sector

  • Solid understanding of trading models and trading strategies and exposures that arise out of them

Preferred Qualifications:

  • CFA charter-holder/candidate

  • Python / SQL coding skills

  • Oil Exposure

Attributes for success

  • Ownership: Takes responsibility for accuracy and timely resolution of issues and deadlines

  • Attention to Detail: Demonstrates diligence and solid understand of receivables, challenge the results of what has been produced prior to distributing it.

  • Challenge: Thrives to improve processes and procedures to maximise efficiency.

  • Organizational Skills: Manages multiple priorities while maintaining data integrity

  • Resilience: Thrives in a fast-paced, high-pressure environment with competing priorities

  • Communication: Negotiates effectively, problem solving and make recommendations

Key Relationships

  • Deals Desk Management

  • Regional Senior Management

  • Finance

  • Chartering

  • Credit

  • Demurrage

  • Tax

  • Compliance

  • Deals Desk team

Department Overview

Deals Desk within Trafigura is a global middle office team providing risk analysis globally on a real time basis. Our primary responsibilities revolve around monitoring all elements of risk and exposure related to our commercial activity and report it directly to the board on a daily basis. We serve in a support role for traders through which requires daily interaction with operations, finance and accounting teams. Commercially, we add value by providing traders with risk assessments and analysis, which highlight their exposure, optionality and PnL. These reports are essential to help them make the right commercial decisions and optimize the opportunities their portfolios generate, all the while providing deals desk employees with an unprecedented front office learning experience in the world of trading.

Equal Opportunity Employer

We are an Equal Opportunity Employer and take pride in a diverse workforce. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.