Data Analyst

Syone; Lisboa; Presencial; EUR 28 000 - 42 000; Tempo integral

Resumo da oferta

Syone is seeking a Data Analyst to transform data into meaningful insights that support business decisions in Lisbon. You will collect, clean, and analyze data from multiple sources and develop reports and dashboards to enable data-driven decisions.

You will collaborate with cross-functional teams to understand requirements, ensure data quality, and communicate findings effectively. Proficiency in SQL, Python, R, Excel and visualization tools is essential.

Qualificações

• Strong analytical and problem-solving skills.
• Proficiency in SQL, Python, R, Excel.
• Experience with data visualization tools (Tableau, Power BI).
• Hands-on experience with Alteryx for data preparation, blending, analysis, and automation.
• Knowledge of statistical analysis and data modelling techniques.
• Understanding of global banking operations and cash payment processes.
• Ability to interpret complex datasets and communicate findings effectively.
• GDPR data privacy policies handling.

Responsabilidades

• Collect, clean, process, and analyze data from multiple sources.
• Identify trends, patterns, and business insights through data analysis.
• Develop reports, dashboards, and visualizations to support decision-making.
• Perform data preparation, blending, and automation using Alteryx.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Ensure data quality, accuracy, and consistency across reporting processes.
• Support business decisions by providing actionable insights and recommendations.
• Document analytical processes and contribute to continuous improvement initiatives.

Conhecimentos

Analytical thinking

Problem solving

SQL

Python

R

Excel

Data analysis tools

Data interpretation

Ferramentas

Alteryx

Tableau

Power BI

Descrição da oferta de emprego

We are looking for a Data Analyst to join our team and help transform data into meaningful insights that support business decisions. The ideal candidate will have strong analytical skills, experience working with data analysis and visualization tools, and the ability to communicate findings effectively to stakeholders.

What you would do:

• Collect, clean, process, and analyze data from multiple sources.
• Identify trends, patterns, and business insights through data analysis.
• Develop reports, dashboards, and visualizations to support decision-making.
• Perform data preparation, blending, and automation using Alteryx.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Ensure data quality, accuracy, and consistency across reporting processes.
• Support business decisions by providing actionable insights and recommendations.
• Document analytical processes and contribute to continuous improvement initiatives.

What you need to bring:

• Strong analytical and problem-solving skills.
• Proficiency in SQL, Python, R, Excel, and other data analysis tools.
• Experience with data visualization tools (Tableau, Power BI).
• Hands-on experience with Alteryx for data preparation, blending, analysis, and automation.
• Knowledge of statistical analysis and data modelling techniques.
• Understanding of global banking operations and cash payment processes.
• Ability to interpret complex datasets and communicate findings effectively.
• By applying, you accept our GDPR policies. Your personal data in your CV and documents will be used solely for processing your application at SYONE. SYONE, S.A. (NIPC 504729624) is the data controller, located at Rua Alfredo da Silva, 8-A, Edifício Stern, Piso 3D, 2610-016 Amadora. We will use your data to tailor your application to relevant vacancies and for potential employment contracts. If selected, your data will be kept during your employment and for at least two years after. If not selected, your data will be kept for two years for future vacancies and then deleted, except for your contact details. You can exercise your rights (access, rectification, erasure, etc.) by emailing [e-mail]. Your data may be shared with our HR service providers and will be stored securely. You can withdraw your consent at any time. We will not use your data for other purposes without your express consent. For more information, email [e-mail].