Data Analytics Intern: Dashboards & Insights

Abroad Work; Porto; Presencial; EUR 6700 - 10 000; Tempo integral

Resumo da oferta

Abroad Work is seeking a Data Analytics Intern in Porto to gain hands-on experience in collecting, analyzing, and interpreting large datasets. You will create reports, visualizations, and dashboards to identify trends and patterns, working with SQL, Excel, Tableau, and Power BI.

The role emphasizes learning and independent as well as team work. The ideal candidate has a strong analytical mindset, attention to detail, and eagerness to develop data analytics skills in a collaborative environment.

Qualificações

• Bachelor's degree or higher in a relevant field (e.g. Computer Science, Mathematics, Statistics).
• Strong analytical skills with attention to detail.
• Proficiency in Microsoft Excel and SQL.
• Familiarity with visualization tools such as Tableau or Power BI is a plus.
• Ability to work independently as well as part of a team.
• Eagerness to learn and develop new skills in the field of data analytics.

Responsabilidades

• Collect, organize, and analyze large datasets.
• Create reports, visualizations, and dashboards to present findings.
• Identify trends and patterns in data.
• Assist in developing strategies for improving data collection processes.
• Collaborate with team members to troubleshoot issues or provide insights based on data analysis.

Conhecimentos

Strong analytical skills

Attention to detail

Ability to work independently

Teamwork

Eagerness to learn

Formação académica

Bachelor's degree or higher in Computer Science/Math/Statistics

Ferramentas

Microsoft Excel

SQL

Tableau

Power BI

Descrição da oferta de emprego

Abroad Work is seeking a Data Analytics Intern in Porto to gain hands-on experience in collecting, analyzing, and interpreting large datasets. You will create reports, visualizations, and dashboards to identify trends and patterns, working with SQL, Excel, Tableau, and Power BI.

The role emphasizes learning and independent as well as team work. The ideal candidate has a strong analytical mindset, attention to detail, and eagerness to develop data analytics skills in a collaborative environment.