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Head of Business Intelligence

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

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 coredata 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.

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