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Commodity Data Analyst Jobs in Toronto, ON (NOW HIRING)

Direct Buyer

Brampton, ON · On-site

$70K - $85K/yr

... analytical and problem-solving skillsAbility to manage multiple priorities and meet ... commodity data, inflation mitigation and escalation/de-escalation agreements to support pricing and ...

This role synthesizes cross-commodity and corporate services financial information into a cohesive ... Translate complex financial data into clear, concise, and visually compelling executive ...

SENIOR PURCHASING ANALYST

Toronto, ON · On-site

CA$44.64 - CA$48.88/hr

Performs statistical data extraction as one of the procurement service leads for the service area ... Oversees monitoring of existing blanket contracts and co-ordinates commodity and services estimates ...

Buyer III

Pickering, ON

CA$88K - CA$115K/yr

Perform spend and commodity analysis; assists with development of contract negotiation strategies ... Excellent communication skills to comprehend, follow direction and convey detailed data. * Ability ...

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Commodity Data Analyst information

What is a commodity data analyst?

Commodity Data Analysts are professionals who collect, analyze, and interpret data related to commodities such as oil, gas, metals, and agricultural products. They use data analytics tools to assess market trends, price movements, and supply-demand dynamics to support trading, investment, and risk management decisions. Their insights help companies and investors make informed decisions in the commodities market, often working closely with traders, economists, and supply chain teams.

How does a commodity data analyst typically collaborate with traders and risk management teams?

Commodity Data Analysts play a crucial role in supporting traders and risk management teams by providing timely, accurate market data and actionable insights. They frequently work closely with traders to interpret price trends, supply-demand dynamics, and market movements, often translating complex data into clear, strategic recommendations. Analysts also collaborate with risk management professionals to help assess exposure and develop data-driven risk mitigation strategies. This cross-functional collaboration ensures that trading decisions are informed and that risks are proactively managed.

What are the key skills and qualifications needed to thrive as a commodity data analyst, and why are they important?

To thrive as a Commodity Data Analyst, you need strong analytical skills, a solid grasp of economics and finance, and typically a degree in a quantitative field such as finance, economics, or statistics. Proficiency with data analysis tools like Excel, SQL, and specialized platforms such as Bloomberg Terminal or Reuters Eikon is often required. Attention to detail, critical thinking, and effective communication help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for making informed decisions in the fast-moving and data-driven commodities market.

What is the difference between Commodity Data Analyst vs Market Analyst?

AspectCommodity Data AnalystMarket Analyst
Required CredentialsBachelor's in Economics, Finance, or related field; data analysis certificationsBachelor's in Economics, Business, or related; market research certifications
Work EnvironmentFinancial institutions, commodity trading firms, energy companiesInvestment firms, consulting agencies, financial services
Employer & Industry UsageFocuses on commodity markets like oil, metals, agricultureAnalyzes broader market trends, including stocks, bonds, commodities

While both roles involve analyzing market data, a Commodity Data Analyst specializes in commodity markets such as energy, metals, and agriculture, focusing on supply and demand data. A Market Analyst has a broader scope, examining overall market trends across various asset classes. Both roles require strong analytical skills and relevant certifications, but their focus areas differ significantly.

Tax Data Analytics & Automation Analyst - Temporary

Air Canada

Toronto, ON • On-site

Full-time

Posted 4 days ago


Job description

Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.

Air Canada's Taxation team is on a transformation journey and reimagining how tax compliance is delivered through automation, data and AI. We are seeking a highly analytical and technology-driven professional to help build scalable, audit ready tax solutions and move our processes toward autopilot.  

The Tax Data Analytics & Automation Analyst will play a key role in designing and supporting automated tax workflows, enhancing data integrity, and advancing AI-enabled capabilities across the tax function. This role focuses on improving accuracy, efficiency, and auditability of tax processes through data-driven solutions, while ensuring compliance with internal controls and regulatory requirements.

Responsibilities:

Automation & Process Transformation

  • Support the development and implementation of automated tax workflows that streamline data ingestion, transformation, validation, and reporting across multiple systems (e.g., Snowflake, Dataiku, SharePoint, Power BI, MS Copilot Agent, MS Power Automate)
  • Convert manual, recurring processes into scalable automated solutions using modern data platforms and tools
  • Monitor production workflows, troubleshoot issues, and continuously implement enhancements to improve performance and reliability

Data & Analytics

  • Responsible to deliver meaningful analytics through the creation of interactive dashboards and/or other data visualizations to support tax decision making
  • Understand enterprise data sources, their dependencies, and its impact on tax compliance
  • Analyze large and complex datasets to ensure data accuracy, completeness, and tax compliance
  • Collaborate with tax, IT, and data teams to translate business requirements into scalable technical solutions, ensuring alignment with enterprise architecture and data governance standards
  • Responsible to transform tax datasets into actionable insights and/or recoveries

AI & Advanced Capabilities

  • Assist in the design, testing, and continuous improvement of AI agents and intelligent automation solutions, including contributing to training datasets, validating outputs, and refining business logic to ensure accuracy and compliance
  • Develop and implement controls and monitoring mechanisms for AI-driven solutions, including performance tracking, exception handling, and explainability to ensure outputs remain reliable, auditable, and compliant with tax and regulatory requirement
  • Explore innovative applications of emerging technologies within the tax function

Controls, Compliance & Auditability

  • Ensure tax data compliance across the full tax reporting lifecycle
  • Document and maintain technical and process documentation, including workflow logic, data mappings, and AI model assumptions for audit and knowledge-sharing purposes
  • Maintain and enhance reports related to ticket taxes, fees, and charges as requirements change
  • Support implementation of new tax legislation and validate compliance with regulatory changes

Qualifications

  • Bachelor's degree in either management of information system/technology, computer science, math and statistics or other related quantitative fields
  • 2 - 5 years of professional experience in data analytics, or systems/automation roles
  • Strong understanding of data processing, transformations, and reconciliation principles
  • Strong SQL experience (Snowflake) - stored procedures, writing complex queries, indexing, etc.
  • Strong Python experience
  • Experience with MS Office applications and MS Power Platform is required
  • Experience with Microsoft Copilot Agent and Snowflake Cortex is preferred
  • Experience with automation tools such as Dataiku is a pre-requisite

  • Work experience in commodity tax (GST/HST, QST, PST, Excise Tax and Fuel Tax) is an asset
  • Proven ability to multi-task and perform under pressure
  • Self-starter with strong interpersonal skills and ability to take initiative
  • High level of attention to detail
  • Comfortable working in an agile team environment requires solving complex, open-ended problems with minimal guidance
  • Demonstrate punctuality and dependability to support overall team success in a fast-paced environment

Conditions of Employment:

Candidates must be eligible to work in the country of interest at the time any offer of employment is made and are responsible for obtaining any required work permits, visas, or other authorizations necessary for employment. Prior to their start date, candidates will also need to provide proof of their eligibility to work in the country of interest.

Linguistic Requirements

Based on equal qualifications, preference will be given to bilingual candidates.

Diversity and Inclusion

Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees' unique contributions to our company's success.

As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.

Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

Employment Type: FULL_TIME