SENIOR DATA & BI ANALYST (HYBRID)

Senior Data & BI Analyst (Hybrid) – Lisbon, Portugal

Location: Lisbon, Portugal

Must live in Portugal

Language: Fluent English

Experience: Up to 10 years

Key Responsibilities

• Develop, implement, and maintain interactive dashboards and data visualizations.
• Prepare reports and documents to support strategic and operational
  - making.
• Conduct
  - hoc analyses and data extractions from various business and analytical systems.
• Design and model data structures within the Data Warehouse to ensure scalability, reliability, and integration across systems.
• Create user stories to define business requirements and guide Data Warehouse evolution.
• Guarantee data quality, integrity, and consistency across all data sources.
• Partner with internal teams to translate business needs into data requirements.
• Communicate findings and recommendations to technical and
  - technical stakeholders.
• Identify opportunities for process automation and efficiency gains.
• Contribute to the implementation of a data visualization strategy and best practices in BI.

Required Skills & Experience

• Proven experience (5–10 years) as a Data Analyst, BI Analyst, or similar role.
• Strong proficiency in SQL (data extraction, transformation, and analysis).
• Experience with BI and dashboard tools (DOMO, Power BI, or equivalent).
• Advanced Excel skills and familiarity with Office Suite.
• Knowledge of data modeling and experience with SAS Enterprise Guide is a plus.
• Strong analytical and problem‑solving skills with attention to detail.
• Excellent communication and stakeholder management abilities.
• Proactive, creative, and able to work independently in a hybrid setup.

Preferred Competencies

• Experience within the Energy or Utilities sector.
• Understanding of data visualization principles and storytelling with data.
• Critical thinking and structured approach to managing multiple initiatives.

Project Type

• Analysis & Data Insights

Keywords

• BI
• SQL
• Power BI
• DOMO
• SAS Enterprise Guide
• Data Modeling
• Data Visualization
• Data Warehouse
• Business Intelligence
• Dashboard Development
• Lisbon
• Hybrid