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Head of Business Intelligence

3 months ago

London, UK, United Kingdom William Blake Group Full time

We are currently partnered with a Global Alternative Asset Manager in supporting them with a key strategic hire within their IT Business Unit. Reporting to the CTO the Head of Business Intelligence owns the reporting and analysis platform to design and deliver enterprise operational reporting, management information and analytics solutions



Responsibilities


  • Set the vision and strategy for moving away from manual desktop reporting and consolidate management information and reporting onto a single business intelligence platform.
  • Act as Solution Architect for reporting and analytics; own the reporting and analysis roadmap and work with key stakeholders across the firm to prioritise and resource delivery activities in line with business priorities.
  • Define and implement a Data Governance Framework and associated quality metrics and ensure ownership is unambiguous for all core data sets and systems.
  • Analyse reporting requirements to design and deliver solutions that meet our goals and objectives as standalone changes or as part of a broader programme of work.
  • Evaluate business processes and identify opportunities to simplify, standardise and optimise cross-firm processes using business intelligence and data tools.
  • Identify data gaps or data acquisition needs and ensure they are clearly aligned to business imperatives and priorities.
  • Advise on data solutions designs so that the business intelligence platform and semantic model is optimised for performance and accuracy.


Required Skillset


  • Detailed working knowledge of one or more market leading business intelligence platforms or tools (Qliksense, PowerBI, Tableau).
  • Expert knowledge of business intelligence concepts, data visualisation and analytic methods.
  • Azure Knowledge: Comprehensive understanding of the Azure platform, including knowledge about its architecture, services, and security measures.
  • 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.
  • Understanding and experience working in Technology and Data teams in Asset Management, Investment Banking and general Financial Services sectors.