IOTx Data Analyst

tcenergy; Tennessee; Hybrid; USD 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

TC Energy seeks a Data Analyst in the AI Productivity Department to ensure data readiness, governance, and trusted sources for AI tools and BI products across USGO. You will collaborate with governance leads and business stakeholders to transform information into actionable data assets and support AI-enabled productivity improvements.

You will design dashboards, develop analytics products, measure ROI, and partner with Operations, Safety, Finance, Engineering, and Field Leadership to drive

Qualifications

• Bachelor's degree in engineering, computer science, or data science from a four-year ABET accredited university.
• Recent graduate with no more than two years of relevant experience related to data quality, analytics, and reporting

Responsibilities

• Lead data readiness and governance activities for AI initiatives.
• Evaluate data quality, completeness, accessibility, and business relevance.
• Develop and maintain data governance standards, metadata requirements, and information management practices.
• Ensure data sources meet security, compliance, privacy, and retention requirements.
• Work with business units to identify authoritative data sources and eliminate duplicate or outdated content.
• Support auditability and traceability of AI-enabled solutions.
• Improve the quality, structure, and findability of information across SharePoint, Teams, OneDrive, and approved business repositories.
• Develop taxonomy, naming conventions, metadata standards, and document management practices.
• Establish and maintain approved knowledge sources for AI tools and Copilot agents.
• Partner with business teams to improve search relevance and information accessibility.
• Design and maintain operational dashboards and KPI reporting.
• Develop reports and analytics products supporting AI adoption, productivity measurement, safety, operations, and business performance.
• Participate in executive-level reporting demonstrating value realization and ROI.
• Identify trends, opportunities, and process bottlenecks using data analysis techniques.
• Support Data Understanding and Data Preparation phases of the AI Tools Lifecycle.
• Prepare datasets and validate data readiness before AI solutions move into development.
• Partner with AI Product Managers to establish baseline metrics and success measures.
• Support evaluation activities by measuring adoption, utilization, productivity improvements, and business outcomes.
• Maintain documentation supporting AI solution governance and operational readiness.

Skills

Data readiness

Analytics

Reporting

Knowledge management

Data governance

Metadata standards

Taxonomy management

Auditability

Security & privacy

Education

Bachelor's degree in engineering, computer science, or data science

Tools

SharePoint

Teams

OneDrive

Job description

Determined, imaginative, curious-if these are some of the ways you describe yourself, we want to learn more about you!

At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.

The Opportunity

We are seeking a Data Analyst who will serve as the AI Productivity Department's subject matter expert for data readiness, analytics, reporting, and knowledge management. This role ensures that AI tools, Copilot solutions, automation workflows, and business intelligence products are built upon accurate, secure, trusted, and well-governed data sources.

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads, business stakeholders, and operational subject matter experts to transform business information into structured, accessible, and actionable data assets that support AI-enabled productivity improvements across USGO. This role is responsible for data quality, metadata standards, reporting development, taxonomy management, knowledge repository optimization, and business performance measurement.

What you'd do

Data Readiness & Governance

• Lead data discovery and assessment activities for AI initiatives.
• Evaluate data quality, completeness, accessibility, and business relevance.
• Develop and maintain data governance standards, metadata requirements, and information management practices.
• Ensure data sources meet security, compliance, privacy, and retention requirements.
• Work with business units to identify authoritative data sources and eliminate duplicate or outdated content.
• Support auditability and traceability of AI-enabled solutions.

Knowledge Management & Enterprise Search

• Improve the quality, structure, and findability of information across SharePoint, Teams, OneDrive, and approved business repositories.
• Develop taxonomy, naming conventions, metadata standards, and document management practices.
• Establish and maintain approved knowledge sources for AI tools and Copilot agents.
• Partner with business teams to improve search relevance and information accessibility.

Reporting & Analytics

• Design and maintain operational dashboards and KPI reporting.
• Develop reports and analytics products supporting AI adoption, productivity measurement, safety, operations, and business performance.
• Participate in executive-level reporting demonstrating value realization and return on investment (ROI).
• Identify trends, opportunities, and process bottlenecks using data analysis techniques.

AI Lifecycle Support

• Support Data Understanding and Data Preparation phases of the AI Tools Lifecycle.
• Prepare datasets and validate data readiness before AI solutions move into development.
• Partner with AI Product Managers to establish baseline metrics and success measures.
• Support evaluation activities by measuring adoption, utilization, productivity improvements, and business outcomes.
• Maintain documentation supporting AI solution governance and operational readiness.

Business Partnership & Continuous Improvement

• Collaborate with Operations, Safety, Projects, Finance, Engineering, and Field Leadership teams.
• Translate operational challenges into measurable data requirements.
• Support intake and assessment of new AI opportunities.
• Identify automation, reporting, and process improvement opportunities.
• Serve as a trusted advisor regarding data strategy.

Minimum Qualifications

• Bachelor's degree in engineering, computer science, or data science from a four-year ABET accredited university.
• Recent graduate with no more than two years of relevant experience related to data quality, analytics, and reporting

Preferred Qualifications

• Previous natural gas industry experience or in similar industries.
• Artificial intelligence training and or experience.
• Engineer In Training (EIT) qualification or willingness to obtain EIT.

This position requires candidates to:

• Have and maintain a valid driver's license and provide a driver's abstract (record) for review
• To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico. # LI-Hybrid

About our business

We are a leader in North American energy infrastructure, spanning Canada, the U.S. and Mexico. Every day, our dedicated team proudly connects the world to the energy it needs-moving over 30 per cent of the cleaner-burning natural gas used across the continent. Complemented by strategic ownership and low-risk investments in power generation, our infrastructure fuels industries and generates affordable, reliable and sustainable power across North America, while enabling LNG exports to global markets.

TC Energy is an equal opportunity empl