Data Analyst: Flexible, Remote Work & Impactful Insights

Siemens Mobility; Santa Catarina; Híbrido; MXN 320.000 - 450.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work hours

Telecommuting

Mentorship programs

Learning platforms

Descripción de la vacante

Siemens Mobility is seeking a data analytics professional to collect, clean, and analyze data from diverse sources. You will build dashboards with Tableau/Power BI and perform analyses to drive business decisions.

The role requires 1+ year of experience, strong SQL/Python skills, and the ability to communicate insights to stakeholders across functions. Hybrid work options and global learning opportunities are available.

Formación

• Bachelor's degree in Data Science or related field.
• 1+ year of data analysis experience.
• Proficiency in SQL, Python, and data visualization tools.
• Knowledge of ML techniques and cloud platforms.
• Strong communication with stakeholders.
• English proficiency and cross-functional collaboration.

Responsabilidades

• Collect, clean, and process data from multiple sources.
• Develop and maintain dashboards and reports (Tableau, Power BI).
• Perform exploratory data analysis to uncover insights.
• Create predictive models to forecast trends.
• Apply AI techniques for advanced analytics (NLP, CV, chatbots).
• Collaborate with cross-functional teams to define data requirements.
• Design and maintain data pipelines and automate collection.
• Document data processes and guidelines.

Conocimientos

Data analysis

SQL

Python

Tableau

Power BI

Machine Learning

EDA

Communication

Problem solving

Educación

Bachelor's degree in Data Science

Statistics

Computer Science

Related field

Herramientas

SAP

ERP systems

Snowflake

AWS

Azure

Descripción del empleo

Siemens Mobility is seeking a data analytics professional to collect, clean, and analyze data from diverse sources. You will build dashboards with Tableau/Power BI and perform analyses to drive business decisions.

The role requires 1+ year of experience, strong SQL/Python skills, and the ability to communicate insights to stakeholders across functions. Hybrid work options and global learning opportunities are available.