Data Analyst (f/m/div.)

Bosch; Ovar; Hybrid; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Health insurance

Hybrid work system

Global collaboration with colleagues

Training opportunities

Career progression and development

Discounts with Bosch partnerships

Sports and health activities

Good public transport access

Free parking

Canteen

Job summary

Bosch Service Solutions in Portugal seeks a data analyst/scientist to analyze historical data, derive actionable insights, and support product development with data-driven recommendations. You will design algorithms, work with cross-functional teams, and present data stories to a mixed audience.

The role involves collaboration with software engineers, product managers, data scientists, and hardware engineers, with a hybrid work setup and opportunities for professional development.

Qualifications

• Proficient in Python with data analysis libraries (Pandas, Matplotlib, PySpark).
• Strong foundation in descriptive analytics and problem solving.
• Able to work with structured and unstructured data.
• Writes clean, maintainable code and uses Git for version control.
• Familiar with dashboard visualization tools such as Streamlit (advantage).
• Excellent data storytelling and reporting to diverse audiences.

Responsibilities

• Analyze historical data to identify trends, anomalies, and performance drivers.
• Translate data-driven insights into actionable recommendations for diagnostics and product development.
• Design and build practical algorithms based on data thresholds and business heuristics to support decision-making.
• Provide data-driven support for Engineering Development, including punctual analysis and data requirements.
• Analyze customer ticket data to identify patterns and opportunities for product improvement.
• Collaborate closely with software engineers, product managers, and other stakeholders to embed data insights into the development lifecycle.
• Create and present reports and data stories to communicate findings effectively to both technical and non-technical audience.
• Work closely with software engineers, product managers, data scientists, data engineers and hardware engineers.

Skills

Python

Pandas

Matplotlib

PySpark

Git

Linux Bash

Descriptive analytics

Tools

Streamlit

Git

Linux

Job description

Company Description

The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

• Analyze historical data to identify trends, anomalies, and performance drivers
• Translate data-driven insights into actionable recommendations to support diagnostics and business decisions for product development
• Design and build practical algorithms based on data thresholds and business heuristics to support decision-making
• Provide dedicated data-driven support for Engineering Development, including punctual analysis and defining data requirements
• Analyze customer ticket data to identify patterns and opportunities for product improvement
• Collaborate closely with software engineers, product managers, and other stakeholders to embed data insights into the development lifecycle
• Create and present compelling reports and data stories to communicate findings effectively to both technical and non-technical audience
• Work closely with software engineers, product managers, and data scientists, data engineers and hardware engineers

Qualifications

• Highly proficient in Python and its data analysis libraries, including Pandas, Matplotlib, and PySpark. Basic proficiency in Bash/Linux commands.
• Possesses a strong foundation in descriptive analytics, with demonstrated critical thinking and problem-solving capabilities
• Capable of working effectively with both structured and unstructured data.
• Writes clean, maintainable code and consistently applies version control (Git) as a standard practice within the workflow.
• Capable of working effectively with both structured and unstructured data.
• Knowledge of dashboard visualization tools, such as Streamlit, would be considered an advantage.
• Demonstrates strong data storytelling abilities and delivers clear, compelling reports and presentations tailored to diverse audiences.

Additional Information

Work #LikeABosch means:

Flexible work conditions

Hybrid work system

Exchange with colleagues around the world

Health insurance and medical office on site

Training opportunities

Opportunities for career progression and continuous professional development

Access to great discounts in partnerships and Bosch products

Sports and health related activities

Great access to public transports

Free parking lot

Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!