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Salary
≈ $30k – $62k per year (Estimated)
Location
Hybrid (Braga, Portugal)
Employment
Full-Time

First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match
Bosch Portugal is the Portuguese arm of the Bosch Group, a technology and engineering group active in mobility and consumer goods. It hires data, backend, embedded software and artificial intelligence engineers in Braga, Lisbon and Aveiro. The company is based in Portugal.

Sobre a vaga

As a Data Analyst for Manufacturing Technologies, you will work at the intersection of engineering, analytics, and digitalization. By transforming complex data into meaningful insights, you will help drive process improvements, support innovation projects, and enable data-driven decisions across manufacturing and development environments.

O que vais fazer

  • Collect, consolidate, and clean data from various sources, including manufacturing systems, databases, laboratory measurements, development trials, and engineering reports
  • Develop and maintain data preparation and transformation pipelines to ensure high-quality and reliable datasets
  • Validate data completeness, consistency, and integrity prior to analysis
  • Create standardized datasets that support recurring engineering and operational analyses
  • Analyze production and development data to identify trends, anomalies, relationships, and opportunities for improvement
  • Support troubleshooting and problem-solving activities using statistical and analytical methods
  • Conduct root cause investigations based on quantitative data analysis
  • Evaluate process stability, capability, variability, and performance using statistical techniques
  • Support process optimization initiatives through data-driven recommendations and performance monitoring
  • Design, develop, and maintain interactive dashboards and reports using Power BI, Tableau, or similar Business Intelligence tools
  • Transform complex analytical findings into intuitive visualizations and actionable insights
  • Communicate results effectively to both technical and non-technical stakeholders
  • Contribute to the standardization of KPIs and reporting structures across projects and manufacturing technologies
  • Work closely with Process Experts, Technology Developers, and Project Teams to understand business and engineering requirements
  • Define, monitor, and continuously improve performance indicators for manufacturing technologies and development projects
  • Enable informed and data-driven decision making through timely analyses and insights
  • Support development, industrialization, and continuous improvement activities across engineering teams
  • Automate recurring analyses and reporting processes using Python, SQL, and Business Intelligence tools
  • Identify opportunities to enhance existing data collection, reporting, and analytics workflows
  • Promote best practices in data analysis, visualization, and data management
  • Contribute to reusable analytical solutions and standards that support manufacturing excellence and Industry 4.0 initiatives

O que é pedido

  • Master's degree in Mathematics, Statistics, Data Analytics, Engineering, Economics, Physics, Computer Science, or a related field
  • Experience in Data Analytics, Business Analytics, Industrial Analytics, Engineering Analytics, or a similar field
  • Experience working with large and complex datasets
  • Experience creating dashboards and reports that support business and engineering decisions
  • Practical experience using Python for data preparation, automation, and analysis
  • Experience collaborating with multidisciplinary and technical teams
  • Strong understanding of statistical analysis and data interpretation
  • Knowledge of hypothesis testing, probability distributions, confidence intervals, regression analysis, and correlation analysis
  • Understanding of process variability, process capability, and performance measurement
  • Ability to translate engineering and business requirements into analytical solutions
  • Strong SQL skills
  • Good experience with Python for data analysis, automation, and visualization, including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn
  • Experience working with structured and semi-structured datasets
  • Understanding of data quality principles, data modelling concepts, and relational databases
  • Experience with Power BI, Tableau, or comparable BI platforms
  • Ability to create intuitive dashboards and impactful data visualizations
  • Experience presenting analytical insights to both technical and non-technical audiences
  • Good communication skills in English
  • Structured, analytical, and detail-oriented approach to work
  • Ability to manage multiple priorities in a dynamic environment
  • Proactive mindset with a passion for continuous improvement
  • Ability to work autonomously while collaborating effectively with cross-functional teams
  • Strong communication and stakeholder management skills
  • Curious and eager to learn
  • Solution-oriented and collaborative
  • Passionate about using data to solve real-world engineering challenges
  • Motivated to drive innovation and improve manufacturing performance

Valorizado

  • Experience in manufacturing or industrial environments is considered an advantage

O que é oferecido

  • Flexible work conditions
  • Hybrid work system
  • Exchange with colleagues around the world
  • Health insurance
  • Medical office (psychology and general clinic) & Social Services Office on site
  • Training opportunities (p.e., technical training, foreign languages training) & certifications
  • 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 transport from Porto
  • Flexible benefits platform
  • Free parking lot
  • Canteen
  • Supported employee car park on site, free bicycle parking in the courtyard, secure bicycle parking space for rent, e-bike charging stations
  • Company bike leasing, choice between a free ticket for core zone, a subsidized Klimaticket, or an employee parking space
  • Flexitime and modern working time models ranging from part-time to job sharing, home office and incorporated window days off
  • Occupational health care and counselling by internal medical staff, free vaccinations, psychosocial and therapeutic counselling, personal health care, workshops and lectures on the subject of health
  • Company pension scheme from the 3rd year at Bosch
  • Discounted purchasing conditions with us and our partner companies, subsidised cultural and leisure events
  • Bosch Bus to direct connection Porto <> Bosch Braga
  • Healthy and tasty meals at subsidised prices in our company restaurant and cafeteria, free coffee in our coffee kitchens

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

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