Data Analytics Intern (12 Months)

A GOOD INTERNSHIP IS NEVER HANDS OFF.

SHARE YOUR PASSION.

We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

BMW Group Financial Services is offering a well-rounded internship with the focus on realizing data-based sales performance that permeates from headquarter down to each single sales outlet within Canada. This role is a part of an interdisciplinary team with a start-up mentality to innovate within a traditional automotive OEM for premium cars.

What awaits you?

• Working in an interdisciplinary team of sales, marketing, finance, and IT experts, willing to share knowledge and expertise with you.
• Gather data from multiple sources; document and catalog into a central repository for analytical and AI / ML use cases.
• Supporting the setup of KPI-oriented / data-based reports and analysis for all levels of management and enhance digital transformation of BMW Group Financial Services.
• Processing raw data into analysis‑ready formats and performing exploratory and statistical analyses to support business, modeling, and/or dashboarding requirements.
• Driving automation of reports and ensuring availability of accurate data in dashboards.
• Working in partnership with Data Scientists in developing predictive analytics use cases.
• Collaborating within Agile Working Model and processes such as Scrum, Kanban using JIRA platform.

What should you bring along?

• Current student or recent graduate in Data Science, Data Analytics or a comparable course of studies.
• Relevant analytics and/or BI related working experience is preferred.
• Coding experience in data processing, aggregation (R, Python).
• Practical experience across the AI/ML lifecycle, including data cleanup, feature selection, model development, parameter tuning, testing, and validation.
• Exposure to process automation, including identifying manual or repetitive workflows and supporting the design or implementation of automated solutions.
• Strong knowledge in MS Office, especially PowerPoint and Excel.
• Strong foundation in mathematics and statistics, with the ability to evaluate datasets and business requirements to support appropriate AI / Machine Learning model selection.
• Knowledge in transactional & analytical data structure and SQL.
• Knowledge in data visualization programs like Tableau.
• Analytical thinking and first knowledge in analyzing and visualizing data.
• Fast learner and willingness to work with various data related topics.
• Teamwork and communication skills.
• Openness, motivation and hands-on mentality.

Ready to transform insights into action and strategy into results? Apply now!

Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.

What we offer?

• An award-winning culture.
• Cutting edge innovation and creativity.
• Flexible working models. **
• World-class office space.
• Fresh & nutritious meals in our amazing fully staffed, and subsidized, onsite cafeteria.
• Fully stocked coffee/tea bar.

** We encourage interested candidates who may legally work in Canada to apply for the role.

Start date: 05/01/2026

Type of employment:Limited
Working hours:37.5

Compensation

The compensation range for this role is $47,000 - $49,000, with variations based on factors like experience, education and skills. Experienced candidates are encouraged to apply.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more.

BMW Canada is committed to being an equal opportunity employer and to fostering an inclusive and accessible experience for all candidates. We welcome and encourage applications from people