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Senior Business Intelligence Developer
2 months ago
We are seeking a highly skilled Senior Business Intelligence Developer to join our team at Sage. As a key member of our Reporting and Analytics Function, you will play a critical role in driving the day-to-day success of our business.
Key Responsibilities- Deliver High-Quality Data Pipelines: Supervise the delivery of daily data pipelines, ensuring they are timely and accurate, to support the suite of BI reports for Sales & Commercial areas which are delivered to hundreds of frontline colleagues to drive performance and deliver accurate commission payments.
- Support the Go To Market Process: Support the GTM process working with and challenging, senior stakeholders to ensure that new propositions or initiatives can be produced, and the correct business processes are in place to ensure data capture is possible.
- Collaborate with the BI Development Team: Work in partnership with the BI development team to ensure raw data is accurate, timely, well defined, and continuously improved.
- Take Accountability for Key Data Projects: Take accountability for, and deliver, key data projects, querying and modelling complex data from multiple and often disparate data sources.
- Drive Continuous Improvement: Seek out and proactively work on continuous improvement projects looking at the way data is compiled and identify opportunities for efficiencies through automation and process/codebase improvements.
- Advanced Skills in Power Platform: Power Platform (Power Query, Power BI & Power Automate) and experience with demonstrable skills in troubleshooting.
- SQL Practitioner: SQL practitioner, capable of building complex queries to mine and manipulate data in line with business logic.
- Reporting Requirements: Experience working to reporting requirements, skilled in interpreting and delivering against the scope of work requests.
- Workload Management: An ability to effectively manage & prioritise workload, working to tight deadlines
- Agile Framework: Experience with working in Agile framework, utilising tools such as Jira, Azure DevOps or similar.
- Enterprise Level Data Warehousing: Enterprise level data warehousing tool such as Snowflake, Google BigQuery or Amazon Redshift.
- ELT Tools: ELT tools such as dbt, and version controlling through GitHub
- Data Observability: Familiarity with data observability tooling and techniques.