Analytics Engineer: Data Pipelines & BI Analytics

Chromalox

Pittsburgh (Allegheny County)

On-site

GBP 65,000 - 95,000

Full time

4 days ago
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Job summary

Chromalox, a leading provider of electrical thermal solutions, seeks an Analytics Engineer to expand data usage for performance and operational improvement. You will own end-to-end data pipelines and develop Power BI analytics for stakeholders across the organisation.

Join a global Data & Analytics team, applying Azure Databricks, Synapse, PySpark, and SQL to deliver timely, trusted insights while ensuring governance and documentation are maintained.

Qualifications

  • Bachelor’s degree or equivalent experience in a related field.
  • Hands-on data pipelines with Azure data engineering tech (Databricks, Synapse, Fabric).
  • Proficient in Python/PySpark for transformations and notebooks.
  • Strong SQL skills for data extraction, validation, and troubleshooting.
  • Experience creating Power BI reports, dashboards, datasets, and modelling.
  • Familiar with Git and CI/CD deployment practices.

Responsibilities

  • Partner with stakeholders to understand reporting needs and KPIs.
  • Design and deliver Power BI reports, dashboards, and semantic models.
  • Build and maintain data pipelines with Azure tools and SQL queries.
  • Apply DAX, Power Query, and data modelling to optimize solutions.
  • Maintain documentation, governance, and data quality checks.
  • Provide user support and contribute to BI workspace governance.

Skills

Power BI
DAX
Power Query
Data Modelling
SQL

Education

Bachelor's degree in a related field

Tools

Azure Databricks
Azure Synapse Analytics
Synapse Link
Microsoft Fabric
Git
CI/CD

Job description

Chromalox, a leading provider of electrical thermal solutions, seeks an Analytics Engineer to expand data usage for performance and operational improvement. You will own end-to-end data pipelines and develop Power BI analytics for stakeholders across the organisation.

Join a global Data & Analytics team, applying Azure Databricks, Synapse, PySpark, and SQL to deliver timely, trusted insights while ensuring governance and documentation are maintained.

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