Business Intelligence Developer

4 weeks ago


Birmingham, Birmingham, United Kingdom Digital Waffle Full time

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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