Business Intelligence Trainee

BMW Group

Ciudad de México

Presencial

MXN 279.000 - 390.600

Jornada completa

14 días+

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Descripción de la vacante

A leading automotive company is seeking a Business Intelligence Trainee in Mexico City. This entry-level position focuses on exploratory data analysis, identifying trends using statistical techniques, and designing interactive dashboards. Candidates should hold a Bachelor's degree in a relevant field and have up to 2 years of experience in data analysis. Strong analytical skills and proficiency in tools like SQL and Excel are essential. Join a dynamic team that values collaboration and offers significant learning opportunities.

Formación

Up to 2 years of professional experience, internships, or academic projects in BI, Data Analysis, or related areas.
Basic knowledge of data manipulation and analysis.
Proficiency in English; additional languages are a bonus.

Responsabilidades

Identify trends and patterns using statistical techniques.
Design and develop interactive dashboards and reports.
Document work processes and share knowledge with the team.

Conocimientos

Data manipulation and analysis

Statistical techniques

Analytical skills

Communication skills

Attention to detail

Educación

Bachelor’s degree in Business, Economics, Computer Science, Data Science, Statistics, or related field

Herramientas

SQL

Excel

Power BI

Tableau

Descripción del empleo

Join to apply for the Business Intelligence Trainee role at BMW Group

Having an eye for detail and being particular about accurate numbers is essential to the smooth running of our business. We are looking for individuals to join our team of precise-minded people dedicated to adding value to our customers and to our business. So if you’d thrive in a team that values high work standards and learning opportunities, where every team member is recognised and valued, join us in driving the future of operations in business mobility.

Business Intelligence Trainee

As Business Intelligence Trainee you will be responsible for exploratory data analysis by identifying trends and patterns using statistical techniques and visualization tools, and contribute to designing and developing interactive dashboards and reports that enable informed decision-making. Additionally, you will document your work, including processes and best practices, and share your knowledge with the team and the broader organization.

What awaits you?

Operate and gather data from various sources, including databases, spreadsheets, and external data providers, preparing the data for analysis.
Identify and address data quality issues such as missing values, inconsistencies, and outliers, transforming data into a suitable format for analysis.
Support exploratory data analysis by identifying trends and patterns, generating insights using statistical techniques and data visualization tools.
Prepare and document work processes, methodologies, and best practices, and share knowledge with the broader BI team and organization.
Assist in designing and developing interactive dashboards and reports that clearly and concisely present analyzed data to enable informed decision-making.

What should you bring along?

Bachelor’s degree in Business, Economics, Computer Science, Data Science, Statistics, or a related field.
Up to 2 years of professional experience, internships or academic projects in Business Intelligence, Data Analysis, or related areas.
Basic knowledge of data manipulation and analysis using tools such as SQL, Excel, or similar.
Familiarity with data visualization tools like Power BI, Tableau, or equivalent is a plus.
Strong analytical and problem-solving skills with attention to detail.
Good communication skills, with the ability to document and share insights clearly.
Eagerness to learn, adapt, and work collaboratively in a dynamic team environment.
Proficiency in English; additional languages are a bonus.

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 here.

Seniority level