Data Analyst (Fabric) - Remote, Growth & Analytics Impact

Neotalent Conclusion; Lisboa; Remote; EUR 30,000 - 48,000; Full time

Benefits offered by this job

Remote work possibility

Career design plan

Training and certifications

Job summary

Neotalent Conclusion in Lisbon seeks a Data Analyst (Fabric) to turn business data into insights. You will build dashboards in Power BI, leverage Microsoft Fabric, and collaborate with teams to define KPIs and reporting.

You should have strong analytics, experience with ETL and data integration, Python and Spark, and be comfortable with remote work. This role offers ongoing training and internal mobility.

Qualifications

• Experience in data analytics and BI concepts.
• Proficient with Microsoft Fabric and modern analytics platforms.
• Strong Power BI skills with data modelling, DAX and visualization.
• ETL, data integration and data transformation experience.
• Proficiency in Python and Spark for data analysis.
• Excellent communication and stakeholder management abilities.
• Willingness to work on challenging projects and adapt to remote work.

Responsibilities

• Analyze large volumes of data and translate business requirements into insights.
• Develop and maintain dashboards, reports, and visual analytics with Power BI.
• Leverage Microsoft Fabric to support modern analytics initiatives.
• Collaborate with teams to define KPIs, metrics, and reporting frameworks.
• Support data preparation, integration, and transformation for high-quality analytics outputs.

Skills

Data analytics

BI concepts

Microsoft Fabric

Power BI

Python

Spark

ETL processes

Data integration

Data transformation

Communication

Stakeholder management

Remote work awareness

Career planning

Tools

Microsoft Fabric

Power BI

Python

Spark

Job description

Neotalent Conclusion in Lisbon seeks a Data Analyst (Fabric) to turn business data into insights. You will build dashboards in Power BI, leverage Microsoft Fabric, and collaborate with teams to define KPIs and reporting.

You should have strong analytics, experience with ETL and data integration, Python and Spark, and be comfortable with remote work. This role offers ongoing training and internal mobility.