NOMOS

Data Analyst

• Develop and maintain dashboards, reports and management KPIs;
• Collect, process, organize and validate datasets from different sources;
• Automate processes and routines for data extraction, processing and data provisioning;
• Identify trends, opportunities and deviations through indicator analysis;
• Support different areas of the company in data-driven decision making;
• Develop queries and analyses using SQL;
• Create visualizations and executive presentations;
• Ensure the quality, integrity and reliability of information;
• Document processes, indicators and business rules;
• Contribute to the evolution of the company's data structure, proposing continuous improvements.

Mid-level Data Analyst