Data Engineer

Role: Data Scientist

Rate: Up to £450 per day Inside IR35Location: Guildford

About the CompanyOur client is a leading manufacturing company, fostering change and leading technology innovation. They support major events and emergency services, employing thousands worldwide.

DescriptionData Scientist

About this roleAs a Data Scientist in our client's team, you will collaborate with key stakeholders to create impactful reports and dashboards to enable key business intelligence decisions. You will be part of a team working on highly sensitive and unique projects, with a strong emphasis on Data Sphere and Cloud Analytics.

Responsibilities

• Design, develop, and maintain reports, dashboards, and visualizations.
• Translate business requirements into effective data models and visualizations.
• Integrate data from various sources into Data Warehouses using ETL processes.
• Transfer Data Warehouse reports into SAP Analytics Cloud (SAC).
• Optimize reports and dashboards for performance and usability.
• Test reporting solutions to ensure accuracy and reliability.
• Document data models, report specifications, and development processes.
• Collaborate with cross-functional teams to gather requirements and ensure project success.
• Stay updated with trends and best practices in Data Warehouse development and business intelligence.

Skills & Experience

• Data Analysis, Modelling, & Management: Experience in developing analytical data models and ETL processes.
• SAP Data Tools: Proficiency in SAP Analytics Cloud and SAP DataSphere.
• Stakeholder & Priority Management: Ability to manage priorities and stakeholders.
• Protected Data: Experience with protected and sensitive data.
• Industry Experience: Experience with MRP and/or ERP generated data.
• Communication: Ability to communicate complex data insights to non-technical stakeholders.
• Project Management: Understanding of project management principles.
• Programming Languages: Strong knowledge of SQL and DAX; familiarity with VBA, PowerShell, and Python is a plus.
• Data Analysis & Modelling: Proficiency in data modelling, statistical analysis, and predictive modelling using tools like SSAS, Power BI, SAP Analytics Cloud, and SAP DataSphere.
• Data Privacy & Protection: Understanding of GDPR and data protection principles.
• IT Security Standards: Knowledge of security protocols and frameworks like ISO 27001.
• Regulatory Reporting: Proficiency in generating regulatory reports.
• Monitoring Tools: Experience with monitoring tools like SPLUNK, Datadog, or New Relic.
• Business Intelligence: Understanding of business intelligence concepts.