YWS Data Analyst – DaaS

·
Full time
Role:

YWS Data Analyst - DaaS Location:

Tadworth but would consider a candidate further North if it is the right candidate. Hybrid working:

This would be hybrid working with a requirement to travel regularly to the office to engage with the team. Salary:

GBP32,000 approx Note:

My client cannot accept anyone on a post study or graduate visa. Job purpose: To provide data analysis support services to the Project Management team of customer Data as a Service contracts (DaaS). To work with the MAP (Analytics Platform) and the Analytics team to ensure that we achieve 98% data availability in the contract. Key Accountabilities/Responsibilities: Detailed descriptions of the key areas of responsibility and decisions made by this position. Responsible for day-to-day management of the MAP system providing automated analytics for the DaaS contract. Identifying shortfalls in the analytics and reporting and working with the Analytics team to implement solutions. Involved in testing solutions and upgrades to new analytics and new alerts. Working with the YWS DaaS Project management team to identify and remedy issues with sensors that have data that is unavailable/unacceptable. Key Success Factors: Helping the DaaS service team achieve at least 98% data availability. Providing prompt and accurate identification of performance issues related to the sensors being managed under the contract. Ensuring prompt and regular communication with the customer. Job Description: Posting, Reporting, and Work Relations. Interacting and working with the Analytics team to manage and improve the measures and KPIs used in the YWS DaaS contract. Required Minimum Qualifications: Bachelor's Degree in Mechanical Engineering or similar Engineering type degree. No experience required - suitable for a first-time graduate. Some programming knowledge would be helpful. Either C#, SQL or Python/R. Competencies: Initiative and willingness to take responsibility. A drive to achieve and present excellent results. A desire to develop your career within a high-tech data-oriented company. Demonstrable interest in analytics and data. How to Apply: To take the next step in your career, please send your CV to

(see below).

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