Remote Data Analyst: ETL, SQL, Power BI & AI

AgileEngine, LLC.; Lublin; Hybrid; PLN 350,000 - 505,000; 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 transform raw data into actionable insights and collaborate across teams to define metrics.

The role requires strong SQL, ETL/ELT experience with PySpark/Databricks/Snowflake, proficiency in Power BI or similar, and comfort working with enterprise datasets.

Qualifications

• Minimum 4 years in Data Analytics.
• ETL/ELT pipelines (PySpark/Databricks/Snowflake stack).
• Advanced SQL for large-scale querying.
• Experience with enterprise IT infrastructure/assets datasets.
• BI dashboarding with Power BI/Tableau/Qlik.
• Excellent communication and stakeholder engagement.
• Experience with frontier AI technologies and LLM integrations.

Responsibilities

• Design, build, and maintain Power BI dashboards to display enterprise metrics.
• Develop, optimize, and maintain data transformation pipelines for large asset data.
• Engage with customers, partners, and engineering teams to translate requirements into data solutions.
• Write complex SQL queries to extract and validate insights from multi-source databases.
• Evaluate frontier AI tools to improve data processing workflows and modeling.
• Contribute to data quality, mappings, and schema normalization.

Skills

Data Analytics

Advanced SQL

Large-scale data handling

BI Dashboards

Communication

AI tools

Frontier AI

Data governance awareness

Education

Bachelor’s degree in a relevant field

Tools

PySpark

Databricks

Snowflake

Power BI

Tableau

Qlik

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 transform raw data into actionable insights and collaborate across teams to define metrics.

The role requires strong SQL, ETL/ELT experience with PySpark/Databricks/Snowflake, proficiency in Power BI or similar, and comfort working with enterprise datasets.