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Head of Business Intelligence/ Team Lead - Wealth Management

  • Location:

    London

  • Sector:

    Investments

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Matthew Thresher

  • Contact email:

    Matthew.Thresher@oliverjames.com

  • Job ref:

    JOB-112023-229931_1714401386

  • Published:

    17 days ago

  • Expiry date:

    2024-05-29

The role of Head of Business Intelligence is to lead the development and implementation of reporting and analytics solutions within the IT department. Reporting to the CTO, the role involves setting the vision and strategy for business intelligence, managing a small team, and collaborating with stakeholders to prioritise and deliver solutions.

The role of Head of Business Intelligence is to lead the development and implementation of reporting and analytics solutions within the IT department. Reporting to the CTO, the role involves setting the vision and strategy for business intelligence, managing a small team, and collaborating with stakeholders to prioritise and deliver solutions.

Responsibilities include capability development, business intelligence solution delivery, performance and quality management, and maintaining technical expertise.

The ideal candidate has extensive experience in Business Intelligence, data modeling, Azure platform, SQL databases, and DevOps practices.

Desired skills include stakeholder relationship management, familiarity with big data technologies and Azure cloud architecture, relevant certifications, and project management experience. The role may involve additional duties as required.

Skills:

  • Azure Knowledge: Comprehensive understanding of the Azure platform, including knowledge about its architecture, services, and security measures.
  • Detailed working knowledge of one or more market leading business intelligence platforms or tools (PowerBI, Tableau).
  • Expert knowledge of business intelligence concepts, data visualisation and analytic methods.
  • Data Engineering: A strong background in data engineering, with thorough understanding of concepts like ETL (Extract, Transform, Load), data cleaning, data structures, and data warehousing.
  • Azure Data Services: Hands-on experience with Azure data services like Azure SQL Database, Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics.
  • SQL Database Experience: Proficiency in SQL databases with the ability to write complex queries and procedures. Experience with Azure SQL Database is particularly important.

Desired:

  • Stakeholder Relationship Management: Experience working with different stakeholders, understanding their needs and communicating effectively. Proven ability to maintain strong stakeholder relationships.
  • Project Management: Experience with project management methodologies like Agile, Scrum, or Kanban, which can be useful in a team setting.
  • Cloud Architecture: Understanding of broader cloud architecture principles and other cloud services, such as those provided by AWS or Google Cloud, can be a beneficial complementary skill.

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