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Graduate Assistant Data Analyst Jobs in Toronto, OH

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 ...

This role is an excellent opportunity for a recent graduate or an early-career professional looking ... data. * Maintain department files, databases, logs, and documentation exception tracking. * Assist ...

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Lead IT Business Analyst

Coraopolis, PA ยท On-site

$97K - $143K/yr

... Data Lake, and other engineering-adjacent applications to enable unified Digital Threads. Job Responsibilities Business Analysis Planning: Assist in planning the business analysis approach ...

Senior Financial Analyst

Pittsburgh, PA ยท Remote

$78K - $98K/yr

... reports * Assist FP&A Director, VP Finance and CFO on acquisitions, including due diligence ... Ability to define problems, collect data from multiple sources, establish facts and draw valid ...

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Showing results 1-20

Graduate Assistant Data Analyst information

See Toronto, OH salary details

$25K

$63.9K

$122.2K

How much do graduate assistant data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for graduate assistant data analyst in Toronto, OH is $63,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $74,500.00 per year, depending on experience, location, and employer.

What is a graduate assistant data analyst?

Graduate Assistant Data Analysts are graduate students who support academic or administrative departments by analyzing data, preparing reports, and assisting with research projects. They typically use statistical software and data visualization tools to interpret data and provide insights to faculty, staff, or research teams. Their work helps inform decision-making, improve processes, and contribute to academic research. These positions often provide students with valuable hands-on experience in data analysis while they complete their graduate studies.

What types of projects and tasks does a graduate assistant data analyst work on?

As a Graduate Assistant Data Analyst, you can expect to work on a variety of projects, such as data cleaning, generating reports, performing statistical analyses, and assisting faculty or departments with research-related data needs. Your daily tasks may include collecting and organizing datasets, using analytical tools like Excel, SPSS, or Python, and collaborating with professors or research teams to support ongoing projects. This role often provides exposure to real-world data challenges and offers opportunities to develop both technical and communication skills while working in an academic or research-focused environment.

What are the key skills and qualifications needed to thrive as a graduate assistant data analyst?

To thrive as a Graduate Assistant Data Analyst, you need a strong foundation in statistics, data analysis, and research methods, typically supported by enrollment in a relevant graduate program. Proficiency in data analysis tools such as Excel, Python, R, and SQL, as well as experience with data visualization platforms like Tableau or Power BI, is essential. Strong attention to detail, critical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills and qualities are crucial for generating reliable insights that support institutional research and decision-making.

What is the difference between Graduate Assistant Data Analyst vs Data Analyst?

AspectGraduate Assistant Data AnalystData Analyst
Required CredentialsEnrolled graduate student, often pursuing related fieldsBachelor's degree in data-related field, sometimes a master's
Work EnvironmentAcademic institutions, research projects, part-timeCorporate, government, or consulting firms, full-time
Employer & Industry UsageUniversities, research centersBusinesses, organizations across industries
Common Search & ComparisonYesYes

The main difference is that a Graduate Assistant Data Analyst is typically a graduate student working part-time in academic or research settings, focusing on supporting projects while pursuing their degree. In contrast, a Data Analyst is usually a full-time professional employed by organizations to analyze data and inform business decisions. Both roles require data analysis skills, but their work environments and commitments differ.

What cities near Toronto, OH are hiring for Graduate Assistant Data Analyst jobs?

Cities near Toronto, OH with the most Graduate Assistant Data Analyst job openings:

Infographic showing various Graduate Assistant Data Analyst job openings in Toronto, OH as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $63,934 per year, or $30.7 per hour.

IOTx Data Analyst

Tcenergy

Washington, PA โ€ข Hybrid

Full-time

Posted 5 days ago


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'll 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 employer and participates in the E-Verify program supervised by the US government. We welcome applications from all qualified individuals regardless of race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. We are also committed to providing accommodations throughout the recruitment process. Applicants requiring accommodations or accessible formats are encouraged to contact us at careers@tcenergy.com for support.

All applicants must have legal authorization to work in the country where the position is based, without restrictions. Background screening is required for all positions, which may include criminal and/or credit checks. Offers may be extended at a different level or job title that best aligns with the successful candidate's qualifications.

Learn more

Visit us at TCEnergy.com and connect with us on our social medial channels for our latest news, employee stories, community activities, and other updates.

Thank you for considering TC Energy in your career journey.