Data & Analytics Technician: Build BI & Data Pipelines

NHS Ayrshire & Arran

Glasgow

Hybrid

GBP 28,000 - 42,000

Full time

2 days ago
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Benefits offered by this job

Pension scheme
Flexible working
Learning resources

Job summary

Public Services Delivery Scotland is seeking a Data & Analytics Technician to join the Data & Analytics function, supporting national digital and data services across NHS Scotland and the wider public sector. The role contributes to data pipelines, data warehousing, and analytics outputs to support decision-making across health and care services.

You will translate requirements into robust technical solutions, work with ETL/ELT processes, and contribute to enterprise BI platforms while

Qualifications

  • Practical experience or training in developing BI or data solutions.
  • Demonstrable SQL skills, and exposure to Python.
  • An understanding of data warehousing and data lakehouse concepts and data pipeline development.
  • Ability to interpret technical requirements and contribute to the development of innovative data and analytical solutions.
  • Experience of delivering work to agreed plans, timescales and quality standards.

Responsibilities

  • Contribute to the development of data pipelines, data warehousing solutions, and analytical outputs.
  • Support ETL/ELT processes development and optimisation.
  • Build reports and dashboards for critical decision-making across health and care services.
  • Engage with a modern data technology stack and cloud platforms to deliver robust solutions.

Skills

SQL
Python
Data analysis
Communication

Job description

Public Services Delivery Scotland is seeking a Data & Analytics Technician to join the Data & Analytics function, supporting national digital and data services across NHS Scotland and the wider public sector. The role contributes to data pipelines, data warehousing, and analytics outputs to support decision-making across health and care services.

You will translate requirements into robust technical solutions, work with ETL/ELT processes, and contribute to enterprise BI platforms while

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