Data Analyst – Gateshead

Company: Jackson Hogg Ltd
Apply for the Data Analyst – Gateshead
Location: Gateshead
Job Description:

Salary: £35,000 – 40,000 per year

Requirements:

  • Previous experience in a Data Analyst or similar role
  • Strong SQL skills and experience working with large datasets
  • Good working knowledge of Python
  • Experience building ETL processes using AWS Glue or equivalent technologies
  • Experience with Power BI or other modern data visualisation tools
  • Strong analytical and problem-solving capabilities
  • Excellent stakeholder engagement and communication skills
  • Experience working with GitHub or other version control platforms
  • Ability to work independently while collaborating effectively in a team environment

Responsibilities:

  • Developing and enhancing a cloud-based Data Warehouse using SQL
  • Designing and maintaining ETL pipelines using AWS Glue and related technologies
  • Building impactful dashboards and visualisations in Power BI
  • Partnering with stakeholders across the business to understand reporting and analytical requirements
  • Analysing large, complex datasets to uncover trends, opportunities and insights
  • Ensuring data quality, accuracy and governance standards are maintained
  • Creating clear documentation for data processes and solutions
  • Keeping ahead of emerging tools, technologies and best practices in analytics and data engineering

Technologies:

  • AWS
  • AWS Glue
  • Redshift
  • Cloud
  • Data Warehouse
  • ETL
  • GitHub
  • Power BI
  • Python
  • SQL

More:

We are joining an organisation investing heavily in its data and analytics capabilities, with ambitious plans to rebuild and modernise its data warehouse in the cloud, integrate a sophisticated Customer Data Platform, expand self-service analytics capabilities, deliver innovative reporting and insights across the business, and establish a scalable, future-ready data ecosystem. This role offers the chance to influence that journey from the ground up while developing highly sought-after cloud and analytics skills, working with technologies including AWS, Redshift, Power BI, SQL, and Python.

last updated 36 week of 2026

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Posted: October 4th, 2026