Data Analyst: ETL/BI, AI & Large-Scale Data (Remote)

AgileEngine, LLC.; Województwo wielkopolskie; Remote; PLN 272,000 - 428,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

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 design and maintain ETL/ELT processes, develop robust data models with SQL, and translate complex data into actionable insights using Power BI. Collaboration with customers and engineering teams is essential.

Qualifications

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

Responsibilities

• Design, build, and maintain Power BI dashboards to show metrics on infrastructure and assets.
• Develop and optimize data transformation pipelines for massive datasets.
• Engage with customers, partners, and engineering to translate requirements into data solutions.
• Write complex SQL to extract insights from multi-source databases.
• Explore AI tools to improve data workflows and analytics.

Skills

Analytical thinking

SQL

Data storytelling

Stakeholder communication

Tools

PySpark

Databricks

Snowflake

Power BI

Job description

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 design and maintain ETL/ELT processes, develop robust data models with SQL, and translate complex data into actionable insights using Power BI. Collaboration with customers and engineering teams is essential.