Data Analyst - Gateshead

Jackson Hogg Ltd; Gateshead; On-site; GBP 35,000 - 40,000; Full time

Job summary

Jackson Hogg Ltd. in the United Kingdom is seeking a data-savvy Analyst to develop and optimise cloud-based data workflows. The role focuses on SQL-driven data warehousing, ETL design with AWS Glue, and building insightful Power BI dashboards to support business decisions.

You will collaborate with stakeholders across the organisation, ensuring data quality and governance while staying ahead of evolving analytics technologies and best practices.

Qualifications

• 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.

Tools

SQL

Python

Power BI

GitHub

ETL

AWS

Redshift

Cloud

Data Warehouse

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