Data Analyst Intern, Revenue Operations (Winter/January 2026, 12 Months)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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. Geotabs 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 were 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 its like to be a Geotabber check out ourblogand follow us @InsideGeotab onInstagram. Join ourtalent networkto learn more about job opportunities and company news.
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Analyst Intern who will work to help utilize vast datasets to draw meaningful insights and solve business problems. This internship position will analyze and mine business data to identify correlations and discover patterns from various data points. If you love technology and are keen to join an industry leader - we would love to hear from you!
What youll do:
As a Data Analyst Intern in Revenue Operations your key area of responsibility will be to assist with the design and maintenance of data systems and databases using statistical tools to interpret data sets. You will need to work closely with your direct supervisor other interns in the same department as well as other teams within the business. The successful candidate will be an analytical problem solver who enjoys diving into data is excited about investigations and algorithms can multi-task and can credibly interface between technical teams and others.
The opportunity:
- 12 month work-term beginning January 2026.
- Full-time paid internship: Monday - Friday37.5hrs/week.
- Your first week at Geotab begins with GEO Launch - a one-week Employee Orientation. Clickhereto learn more!
- Learn more about the Geotab Campus Programhere.
How youll make an impact:
- Collaborating with colleagues from the Revenue Operations Data Analytics & Insights team plus other functions of the business to drive results.
- Ensure data quality throughout all stages including data sourcing/collection generation normalization and transformation.
- Engage in revenue generation research projects as requested by the supervisor.
- Promote data-driven decision-making across the team using tools such as SQL and Google Sheets.
- Provide leaders with insight in order to make data decisions to provide the most consistent and usable data for all teams across the company.
What youll bring to the role:
- Degree in STEM Data Science Data Analytics Business Analytics 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 an asset.
- Some knowledge of data mining/data warehousing data modeling statistical analysis database management reporting and data analysis.
- Experience with developing machine learning models and in feature engineering is an asset.
- 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).
If you got this far we hope youre feeling excited about this role! Even if you dont 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:
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 By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively Geotab) you acknowledge Geotabs collection use and disclosure of your personal data in accordance with our . Click here to read our Privacy Notice. Clickhereto learn more about what happens with your personal data.
Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
