Remote Analytics Engineer

Summary

Join our team at nXscale as a Data Engineer to collaborate with team members, provide clean data sets/views, and apply statistical calculations against data sets in GROW's Data Lake. Contribute to business cases and support the Product owner in communicating delivery and handover of reports.

Responsibilities

• Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
• Provide clean and appropriate data sets/views for data and reporting requirements to be delivered
• Provide insights and workshop with Data Engineers the gaps of data in the data lake for data engineers to pipeline in
• Apply appropriate statistical calculations and models against data sets in GROW’s Data Lake
• Continuous improvement activities on performance optimisation of all data pipelines and data stores, applying engineering best practices to code ie Versioning, automated testing, CI/CD
• Provide input into the discovery and solution phase for Business/Client needs, assessing risk in exposing data and working inline with GROW’s risk framework
• Document changes, calculation methodologies and process of executing reports in GROW’s Wiki Appropriately
• Contribute to business cases the Head of Data Engineering will be putting forward to GROW’s Strategic Leadership Team
• Support the Product owner in communicating the delivery and handover of a report to the relevant internal/external stakeholders