Senior Data Analyst — ETL, SQL & AI Dashboards (Remote)

AgileEngine, LLC.; Granada; A distancia; EUR 42.000 - 64.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

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 work with PySpark/Databricks/Snowflake stacks, create Power BI dashboards, and collaborate with customers and engineering teams to solve data challenges.

The role requires 4+ years in data analytics, strong SQL skills, and experience with large datasets.

Formación

• At least 4 years in Data Analytics with strong quantitative and qualitative skills.
• ETL/ELT pipelines experience using PySpark/Databricks/Snowflake stack.
• Advanced SQL for complex querying on large-scale systems.
• Experience with IT infrastructure and asset datasets.
• Dashboarding with Power BI (or Tableau/Qlik).
• Excellent communication; able to lead data-focused discussions.
• Experience with frontier AI technologies and LLM integrations.

Responsabilidades

• Design, build, and maintain Power BI dashboards for enterprise infrastructure.
• Develop and maintain ETL/ELT pipelines processing asset data.
• Engage with customers, partners, and engineering to translate requirements.
• Write optimized SQL queries across multi-source databases.
• Evaluate frontier AI tools to improve data workflows.
• Define data mappings and governance to ensure data quality.

Conocimientos

Data analysis

Advanced SQL

Communication

Problem solving

Stakeholder mgmt

Frontier AI knowledge

Herramientas

PySpark

Databricks

Snowflake

Power BI

Tableau

Qlik

Descripción del empleo

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 work with PySpark/Databricks/Snowflake stacks, create Power BI dashboards, and collaborate with customers and engineering teams to solve data challenges.

The role requires 4+ years in data analytics, strong SQL skills, and experience with large datasets.