Dats Analyst

Jackson Hogg Ltd

North East

On-site

GBP 42,000 - 55,000

Full time

4 days ago
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Job summary

Jackson Hogg Ltd is seeking a Data Analyst to help shape the future of data amid a major cloud transformation. You will turn complex data into actionable business insights and build scalable analytics solutions.

Join a high-performing team, develop cloud-based data pipelines with SQL, Python, AWS Glue, and Power BI, and deliver dashboards that inform decisions and improve customer experiences. This role also offers exposure to modern data platform design and opportunities to influence reporting

Qualifications

  • Experience as a Data Analyst or similar role.
  • Strong SQL skills with large datasets.
  • Good working knowledge of Python.
  • Experience building ETL with AWS Glue or equivalent.
  • Power BI or similar data visualization tool.
  • Strong analytical and problem-solving skills.
  • Excellent stakeholder engagement & communication.
  • Experience with GitHub or other version control.
  • Ability to work independently and in a team.

Responsibilities

  • Developing a cloud-based Data Warehouse using SQL
  • Designing ETL pipelines using AWS Glue
  • Building dashboards in Power BI
  • Partnering with stakeholders to understand reporting requirements
  • Analyzing large datasets to uncover insights
  • Ensuring data quality and governance
  • Creating documentation for data processes
  • Staying ahead of tools and best practices in analytics and data engineering

Skills

SQL
Python
Data analysis
Stakeholder engagement
Analytical thinking
Independent working
Team collaboration

Tools

AWS Glue
Power BI
GitHub

Job description

Data Analyst

Shape the future of data in a business undergoing major cloud transformation

Are you a data professional who loves turning complex data into powerful business insights? Do you want to be part of a large-scale cloud transformation programme where your work will directly influence business decisions and customer experiences?

We're looking for a talented Data Analyst to join a high-performing team during an exciting period of digital evolution. This is a rare opportunity to play a key role in rebuilding a modern cloud-based data platform while working with cutting-edge technologies including AWS, Redshift, Power BI, SQL, and Python.

If you thrive on solving problems, uncovering insights and building data solutions that drive business value, we'd love to hear from you.

Why Join Us?

You'll be 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
  • 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.

What You'll Be Doing

As a Data Analyst, you'll sit at the heart of the business's data function, helping transform raw data into actionable intelligence.

You'll be responsible for:

  • 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
What We're Looking For

We're seeking someone who combines technical expertise with strong business understanding.

Essential Skills & Experience
  • 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
  • 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
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