Analista de Datos Senior - Dashboards, ETL y IA (Remoto)

AgileEngine, LLC.; La Coruña; À distance; EUR 80 000 - 107 000; Plein temps

Avantages offerts par ce poste

Professional growth

Competitive compensation

Exciting projects

Flextime

Résumé du poste

AgileEngine is seeking a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders. You will transform complex datasets into actionable insights and collaborate with cross-functional teams across product, engineering, and operations.

The ideal candidate has 4+ years in data analytics, strong SQL, ETL/ELT experience with PySpark/Databricks/Snowflake, and proficiency in Power BI.

Qualifications

• 4+ years in Data Analytics with strong quantitative and qualitative analytical skills.
• Experience building ETL/ELT pipelines using PySpark/Databricks/Snowflake.
• Advanced SQL for complex queries and large datasets.
• Experience with IT infrastructure/assets datasets is a plus.
• Experience creating Power BI dashboards to tell business stories.

Responsabilités

• Design, build, and maintain Power BI dashboards for enterprise infrastructure metrics.
• Develop robust ETL/ELT pipelines to process asset data at scale.
• Engage with stakeholders to translate requirements into data solutions.
• Write optimized SQL to analyze multi-source databases.
• Evaluate frontier AI tools to improve data processing workflows.
• Ensure data quality and governance across datasets.

Connaissances

Data analysis

SQL

Communication

Power BI

Formation

Bachelor's degree in a relevant field

Outils

PySpark

Databricks

Snowflake

Power BI

Description du poste

AgileEngine is seeking a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders. You will transform complex datasets into actionable insights and collaborate with cross-functional teams across product, engineering, and operations.

The ideal candidate has 4+ years in data analytics, strong SQL, ETL/ELT experience with PySpark/Databricks/Snowflake, and proficiency in Power BI.