5 of 5 Remote/Hybrid Analytics Jobs in North Yorkshire

views, stored procedures, functions) in SQL Server Support ETL/data pipelines (e.g. SSIS or similar tools) Assist with data modelling for reporting and analytics Troubleshoot data quality issues and optimise queries Provide ad hoc SQL queries and datasets for reporting teams Document solutions and manage version control using ...

prides itself on delivering innovative customer experiences. In return, the role offers competitive remuneration, a supportive working environment, and strong career development opportunities. The analytics hub is based in Middlesbrough and operates a hybrid working model, with team members typically onsite 2 days per week. This role may be particularly ...

databases, data pipelines, and reporting datasets. You will work closely with BI and reporting teams to ensure data is accurate, reliable, and ready for analytics click apply for full job details ...

Data Engineer to join our team, We operate in the equipment rental sector and this role involves creating and maintaining data pipelines to support analytics and business insights. Based in Harrogate but with remote working, this permanent position offers the opportunity to work on innovative projects in a fast-evolving … efficiently, responsibly. Description The Lead Data Engineer will be responsible for but not limited to: Design, build, and maintain scalable data pipelines to support analytics and reporting needs. Collaborate with analytics teams to define data requirements and ensure data availability. Implement data quality checks to ensure accuracy and reliability ...

Data Engineer to join our team, We operate in the equipment rental sector and this role involves creating and maintaining data pipelines to support analytics and business insights. Based in Harrogate but with remote working, this permanent position offers the opportunity to work on innovative projects in a fast-evolving … safely, efficiently, responsibly. Description The Data Engineer will be responsible for but not limited to: Design, build, and maintain scalable data pipelines to support analytics and reporting needs. Collaborate with analytics teams to define data requirements and ensure data availability. Implement data quality checks to ensure accuracy and reliability ...