Business Intelligence Developer
4 weeks ago
Job Title: Business Intelligence Developer
Job Summary:
We are seeking a highly skilled Business Intelligence Developer to join our team at Digital Waffle. As a Business Intelligence Developer, you will be responsible for designing, developing, and maintaining scalable, user-friendly, and automated systems, data solutions, and reporting that will support our analytical and business needs.
Key Responsibilities:
- Work across the group and with the divisions' data partners to leverage all available data, building out the group's database, reporting, and insights capabilities to enable data-led decision-making.
- Design, develop, and maintain scalable, user-friendly, and automated systems, data solutions, and reporting that will support our analytical and business needs.
- Support the insight team with visualizations, reporting, and stakeholder engagement through monthly/quarterly/annual departmental reviews.
- Use data science/statistical modeling tools in collaboration with the analyst team and departmental stakeholders to develop Artificial Intelligence (AI) and Machine Learning (ML) functions and analytics.
- Create and manage a knowledge-base, including documentation of your designs (e.g., system design, functional design, data flow design) ensuring there is version control and contingency processes for all aspects.
Requirements:
- Demonstrable experience or certification(s) within the field of data engineering, data science, and/or business analysis.
- Practical experience of database design and data transformation, supported by ETL processing.
- Managing data pipelines & orchestration that enable the transfer and processing of data. (Databricks, Microsoft Fabric, Alteryx, Snowflake, Apache)
- Coding and programming, capable of working through complex problems with others from the team, adapting quickly to changing market trends and business needs. (SQL, Python, or R)
- Utilizing cloud-based services and corresponding toolsets. (Microsoft Azure, GCP, AWS, or similar).
- Comfortable handling structured and unstructured data, from 1st, 2nd, and 3rd party data sources, combining multiple data sets, to produce a cohesive picture of performance and derive insights and recommendations.
- Experience working directly with business stakeholders ensuring complex information is articulated in a meaningful way.
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