Who we are:
Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.
Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.
Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram.
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Governance & Operations Data Analyst Intern to help keep the company's most important data accurate, trusted and easy to use. You will work with large datasets to find patterns, check quality and answer business questions. If you love technology, and are keen to join an industry leader, we would love to hear from you!
What you'll do:
The Global Data Operations & Governance (GDOG) team owns the certified metrics, scheduled data pipelines and data standards that teams across Geotab rely on. As an intern you will help build, check and maintain those data assets using SQL and statistical tools. On a typical day you will work closely with your manager and a team member who guides your focus area, alongside the other interns on the team and partner teams across the business. The successful candidate is an analytical problem solver who enjoys diving into data, is excited about investigations, can multi-task, and can credibly interface between technical teams and others.
The opportunity:
- 12-month work-term beginning January 2027.
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
- Learn more about the Geotab Campus Program here.
- This posting is for an existing vacancy.
How you'll make an impact:
- Work with the GDOG team and partner teams (such as Revenue Operations, Finance and Marketing) to deliver accurate, consistent data.
- Use AI coding assistants (such as Claude Code or Codex) every day to write and review SQL and Python, build reports, automate data quality checks and pipeline monitoring, and draft documentation, then check and own what they produce.
- Check data quality at every stage: sourcing, collection, normalization and transformation. Reconcile numbers between systems and explain any gaps.
- Help monitor scheduled data pipelines, investigate failures and document the cause and fix.
- Help apply data standards: table and column descriptions, labels, and documentation so data is easy to find and trust.
- Build and maintain reports and dashboards in Superset and Google Sheets so teams can answer their own questions.
- Take on focused analysis projects assigned by your manager, and present findings to the team.
- Provide leaders with clear, reliable insight to support data-driven decisions.
What you'll bring to the role:
- Degree in Computer Science, Engineering, Mathematics, or a related field of study in progress.
- Some experience as a Data Analyst or pursuing a career path in Data Analytics/Data Science.
- Technical experience using SQL, Python or Google BigQuery is required.
- Demonstrated hands-on experience using AI coding assistants such as Claude Code or Codex to build real work (for example analyses, scripts, automations or dashboards). Be ready to show examples and explain how you directed the tool and verified its output.
- Good judgment with AI-generated work: you test results, catch errors and never ship output you cannot explain.
- Experience applying Large Language Models (e.g., Gemini, Claude) to analyze unstructured data and to speed up documentation and analysis.
- Experience, or a strong track record of experimenting, with AI agents and agentic workflows to automate tasks like data quality checks, monitoring and reporting.
- Knowledge of data warehousing, data modeling, statistical analysis, reporting, and data analysis.
- Attention to detail and comfort checking your own work and other people's numbers.
- Some knowledge of data visualization tools (e.g. Superset, Tableau).
- Strong communication, organization, analytical, and time management skills, as well as a willingness to learn and a strong work ethic.
- Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
- Experience developing machine learning models is an asset.
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.
This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check.
Hourly Rate
$33 - $39 CAD
