Data Analyst: ETL, Dashboards & AI-Driven Insights - Remote

AgileEngine, LLC.

Castilla y León

Hybrid

EUR 42,000 - 62,000

Full time

10 days ago

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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine, LLC. is seeking a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders in a hybrid Spain-based role.

You will develop ETL/ELT pipelines, craft production-grade SQL, and deliver Power BI dashboards. The ideal candidate has strong communication skills, a background in AI/LLM tools, and experience with enterprise datasets.

Qualifications

  • At least 4 years in Data Analytics.
  • ETL/ELT pipelines with PySpark/Databricks/Snowflake stack.
  • Advanced SQL for complex querying and data operations.
  • Experience with large-scale IT infrastructure and asset datasets.
  • Dashboarding with Power BI or Tableau/Qlik.

Responsibilities

  • Design, build, and maintain interactive Power BI dashboards for enterprise infrastructure and assets.
  • Develop and optimize data transformation pipelines for massive asset data.
  • Engage with customers and partners to translate business needs into data solutions.
  • Write optimized SQL queries to extract insights from multi-source databases.
  • Evaluate AI tools to improve data workflows and analytics.
  • Support data mapping and governance to maintain data integrity.

Skills

ETL/ELT pipelines
Advanced SQL
Power BI
Big data assets
Communication
AI/LLM tools
English

Tools

PySpark
Databricks
Snowflake

Job description

AgileEngine, LLC. is seeking a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders in a hybrid Spain-based role.

You will develop ETL/ELT pipelines, craft production-grade SQL, and deliver Power BI dashboards. The ideal candidate has strong communication skills, a background in AI/LLM tools, and experience with enterprise datasets.

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