Data Analytics & AI Insights Architect

AgileEngine, LLC.; Porto; Hybrid; EUR 80,000 - 125,000; 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 interactive Power BI dashboards, develop robust ETL/ELT processes, and collaborate with customers and engineering teams to translate needs into data solutions. Strong SQL and AI tooling experience are highly valued.

Qualifications

• 4+ years in Data Analytics with strong quantitative/qualitative skills.
• Experience building ETL/ELT pipelines using PySpark/Databricks/Snowflake.
• Advanced SQL for complex queries on large-scale systems.
• Experience with large IT infrastructure and asset datasets.
• Proficient in Power BI or similar BI tools (e.g., Tableau, Qlik).
• Excellent communication and stakeholder leadership abilities.
• Experience with frontier AI tools and LLM integrations.

Responsibilities

• Design, build, and maintain interactive Power BI dashboards showing enterprise infrastructure metrics.
• Develop, optimize, and maintain data pipelines processing asset and infrastructure data.
• Engage with customers and engineering teams to translate requirements into data solutions.
• Write complex SQL to extract insights from multi-source databases.
• Evaluate AI tools to improve data workflows and modeling.
• Assist in data mapping, transformation, and governance to ensure data quality.

Skills

Data Analytics

ETL/ELT pipelines

Advanced SQL

Large-scale datasets

Power BI dashboards

Communication skills

Frontier AI tech

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 interactive Power BI dashboards, develop robust ETL/ELT processes, and collaborate with customers and engineering teams to translate needs into data solutions. Strong SQL and AI tooling experience are highly valued.