Data Analyst: ETL/SQL + AI Dashboards (Remote)

AgileEngine, LLC.; Granada; Hybrid; EUR 62,000 - 98,000; Full time

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.

You will design and maintain Power BI dashboards, develop ETL/ELT pipelines, and work with AI tools to improve data workflows. Collaboration with customers and engineers is expected in a hybrid role with remote and office options.

Qualifications

• 4+ years in Data Analytics with strong quantitative and qualitative skills.
• ETL/ELT pipelines built with PySpark/Databricks/Snowflake stack or equivalent.
• Advanced SQL for complex queries on large-scale systems.
• Experience with massive IT asset and infrastructure datasets.
• BI/dashboarding with Power BI or Tableau/Qlik to tell data stories.
• Excellent verbal and written communication for stakeholder interactions.
• Experience with frontier AI tech, generative AI tools, and LLM integrations.

Responsibilities

• Design, build, and maintain interactive Power BI dashboards for enterprise assets and risks.
• Develop and maintain robust data transformation pipelines for large datasets.
• Engage with customers and teams to translate needs into data solutions.
• Write optimized SQL to extract insights from multi-source databases.
• Evaluate AI tools to improve data workflows and modeling.
• Contribute to data mappings, transformations, and schema normalization.

Skills

Data analytics

ETL/ELT pipelines

Advanced SQL

IT asset & infrastructure data

Power BI

Communication

Generative AI / LLM

Tools

PySpark

Databricks

Snowflake

Tableau

Qlik

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.

You will design and maintain Power BI dashboards, develop ETL/ELT pipelines, and work with AI tools to improve data workflows. Collaboration with customers and engineers is expected in a hybrid role with remote and office options.