Data Analyst - ETL/BI Dashboards + AI (Remote)

AgileEngine, LLC.

Wrocław

On-site

PLN 272,000 - 428,000

Full time

3 days ago
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Benefits offered by this job

Professional growth
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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 work with PySpark, Databricks, Snowflake, and Power BI to transform data into clear, actionable insights.

The role requires 4+ years in data analytics, advanced SQL, and experience with enterprise datasets. You will engage with customers and engineering teams to translate requirements, develop ETL/ELT processes,

Qualifications

  • Minimum 4 years in data analytics with proven problem-solving.
  • Experience building ETL/ELT pipelines using PySpark/Databricks/Snowflake.
  • Advanced SQL for complex queries on large-scale datasets.
  • Experience with enterprise IT infrastructure and asset datasets.
  • Proficient in Power BI and BI tools.
  • Strong communication and stakeholder management.
  • Experience with frontier AI, Generative AI, and LLM integrations.

Responsibilities

  • Design, build, and maintain Power BI dashboards to deliver clear metrics.
  • Develop, optimize data transformation pipelines processing asset data.
  • Engage with customers and engineering teams to translate requirements.
  • Write complex SQL queries for multi-source databases.
  • Evaluate frontier AI tools to improve data workflows.
  • Support data governance and data quality initiatives.

Skills

Data Analytics
SQL
Power BI
ETL pipelines
AI/LLM tools
Communication
Frontier AI

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 work with PySpark, Databricks, Snowflake, and Power BI to transform data into clear, actionable insights.

The role requires 4+ years in data analytics, advanced SQL, and experience with enterprise datasets. You will engage with customers and engineering teams to translate requirements, develop ETL/ELT processes,

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