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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