Senior Data Analyst: SQL & Power BI (Hybrid, KPIs)

POSSUMUS; Municipio de Rincón de los Sauces; Híbrido; ARS 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Possumus is seeking a Senior Data Analyst to join an insurance-focused company and contribute to the evolution of its data ecosystem. You will analyze information from different business units, monitor KPIs, and identify insights to support commercial opportunities and growth.

You will collaborate with Data Engineers, Product Owners, and Business Analysts to translate business needs into reliable analytical solutions and drive data quality across the warehouse and data lake.

Formación

• 2+ years of experience in analytical roles focused on developing and monitoring business KPIs.
• Strong SQL skills.
• Solid experience in data modeling and analytics.
• Experience creating reports and dashboards using Power BI, MicroStrategy or similar data visualization tools.
• Experience performing data analysis and translating information into business insights.
• Understanding of data quality, integrity and ingestion validation practices.
• Experience working in Agile or multidisciplinary environments.

Responsabilidades

• Monitor business KPIs and analyze data to identify trends, insights and commercial opportunities.
• Use SQL to combine information and generate relevant business metrics.
• Develop and maintain reports and dashboards in Power BI.
• Monitor data ingestion processes and perform quality controls across the Data Warehouse and Data Lake.
• Collaborate with Data Engineers, Product Owners and Business Analysts to translate business needs into analytical solutions.
• Propose improvements focused on data quality, efficiency and process automation.

Conocimientos

SQL

Data Analytics

Analytics

Herramientas

Power BI

MicroStrategy

Descripción del empleo

Possumus is seeking a Senior Data Analyst to join an insurance-focused company and contribute to the evolution of its data ecosystem. You will analyze information from different business units, monitor KPIs, and identify insights to support commercial opportunities and growth.

You will collaborate with Data Engineers, Product Owners, and Business Analysts to translate business needs into reliable analytical solutions and drive data quality across the warehouse and data lake.