The BI Engineer is a multifaceted role that includes the development, operation, maintenance and user adoption of BI products and services to support the business intelligence vision. Development may be across any of the assets and processes in the BI supply chain, to include end user reports, corporate data sets, data warehousing and operational data stores, data flows and transformations, data preparation and extraction, and master data management. Operations will include undertaking and monitoring of scheduled tasks and responding to user issues. Maintenance will include refactoring assets when “broken” or to sustain business value. User adoption requires interacting with users to understand requirements and promote business adoption of BI Products.
Minimum Education & Experience |
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Essential | Desirable |
Graduate or equivalent by experience in a relevant subject/discipline. Circa 3 years or more relevant experience working in a data discipline. Proven experience driving and developing technical DWH/ Data Sets. Technical skills to include at least 2 off the following, SQL, SSIS, SSRS, OLAP, SSAS, DAX, MDX. Experience of DWH delivery standards, processes and best practices (Kimball methodologies). A passion for Data and Information with a strong understanding of how to use BI to best enable Self Service BI reporting and analysis. Strong problem solving and planning skills, with a can-do attitude to manage and mitigate risks to maintain delivery commitments. Good communication and relationship building skills including inspiring trust and influencing, constructively challenging points of view. Good all round and hands on BI knowledge and skills. |
Knowledge of the insurance industry and working within regulated environments. Experience of system test approaches, methodologies and tools A strong business acumen (including good understanding of internal and external markets and best practice) and strong commercial and financial awareness. Experience of agile project delivery and scrum management using Azure DEVOPS or similar. Experience of Power Platform (Power BI, Power Apps, Power automate). Experience of the Azure Platform (Logic Apps, Data Factory Databricks) |