Data Analytics Expert: Insights & Dashboards Lead

Linde Portugal; Porto; Presencial; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Pension plan

Flexible working hours

Health care options

Resumo da oferta

Linde Portugal is seeking a Data Analytics Expert to partner with regional business teams, translating requirements into data products and delivering automated, high-quality analytics across the region.

You will design, develop, and maintain data products, support ad-hoc requests, and collaborate with data engineering and data science teams to ensure scalable pipelines and impactful insights in English, with travel <10% for collaboration.

Qualificações

• Masters degree in a STEM field with strong business understanding.
• Proven ability to translate business requirements into data pipelines, models and insights.
• Expert programming with SQL, R and Python and experience building customer-facing reports using Power BI and web frameworks (R Shiny or similar).
• Excellent communication, with potential change-management experience.
• Fluent English in written and spoken form.

Responsabilidades

• Act as a key partner for regional business teams to discuss/local requirements and translate them into data products.
• Design, develop and maintain automated, high-quality data products to support regional reporting.
• Address regional ad-hoc data requests and provide timely data insights.
• Collaborate with data engineering to enhance robust data pipelines for scalable deliverables.
• Coordinate with data science and analytics teams to ensure best practices and scalability.

Conhecimentos

SQL

R

Python

Power BI

R Shiny

Business understanding

Communication skills

English

Travel (<10%)

Formação académica

Master’s degree in STEM

Descrição da oferta de emprego

Linde Portugal is seeking a Data Analytics Expert to partner with regional business teams, translating requirements into data products and delivering automated, high-quality analytics across the region.

You will design, develop, and maintain data products, support ad-hoc requests, and collaborate with data engineering and data science teams to ensure scalable pipelines and impactful insights in English, with travel <10% for collaboration.