Reporting and Analytics Engineer - HYBRID
We are working exclusively with our client who are based in the heart of Bristol. We have an open vacancy for a Reporting and Analytics Engineer. The role is also HYBRID.
ROLE SUMMARY
Supporting the Reporting & Analytics Manager with the design and development of the BI platform and advanced analytics, ensuring it:
* Is trusted and fit for purpose
* Is scalable and performant
* Leverages contemporary advanced analytics capabilities and visualisations
* Provides simple and efficient BI self-service reporting
* Supports a single analytical view of our data and information
* Uses agreed and defined metrics
* Is built in line with our information management strategy and guiding principles
* Delivers business value through action oriented insights
* Ensures "explainability" fit for audit in a regulatory controlled environment
Working as part of the Reporting & Analytics team in close collaboration with the Data Engineering team and business areas to take responsibility and accountability for collaborative design and build of end-user visualisations, reports, and ad-hoc analysis ensuring all required documentation is complete prior to release and all standards and best practices are adhered to. Taking a lead in driving the progression of advanced analytics capabilities and visualisations in step with technology changes and business needs. Supporting the Reporting & Analytics team through technical peer reviews and the end-user community by providing clear explanation of interpreting provided information.
KEY SKILLS
* Passionate about data and information with a strong understanding of data architecture principles and information "story telling" in order to maximise the value of our raw data
* Technology agnostic and able to adapt with agility as we evolve our information estate and technology stack towards contemporary technologies which may comprise tools such as PowerBI, SSRS, Tableau, Cognos 11, Qlik, MicroStrategy, and cloud based services within Amazon AWS and/or Microsoft Azure
* Good understanding of SQL & DAX
* Highly adept at visualising information through good use of chart types best suited to the situation
* Demonstrable understanding of advanced analytics, including predictive, with supporting capabilities such as 'R', Python desirable
* Strong problem solving and planning skills with a "can do" attitude to manage and mitigate risks to maintain delivery commitments
* Knowledge of the insurance industry and working within regulated environments would be desirable
* Demonstrable knowledge of Kimball methodologies, MI standards and best practices and standards
* Knowledge of different data storage paradigms such as Kimball, Data Vault 2.0, Data Lakes, and beyond desirable
Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.
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