Employer: BCT Resourcing Salary: £90,000 – £110,000 per annum Date Added: 18/12/2023 Business Intelligence Lead – Permanent – Asset Manager London £90,000 – £110,000 per annum
Working within the IT department, the Business Intelligence Lead owns the reporting and analysis platform and undertakes business analysis and business process improvement activities to design and deliver enterprise operational reporting, management information and analytics solutions. Tasked with producing high quality, innovative solutions to enhance our business systems and create significant intellectual property that will differentiate us in our sector and markets.
Responsibilities:
Capability Development
* 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 Product Manager 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. * Set the strategy for reporting and analysis self-service across the firm, and work with senior stakeholders to upskill and establish business intelligence skills in each function. * Ensure that training services and documentation are in place to educate staff on how to use new software or technology effectively.
Business Intelligence solution delivery:
* 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 documented and presented to the Data Engineering team for development. * Advise on data solutions designs so that the business intelligence platform and semantic model is optimised for performance and accuracy. * Prototype, demonstrate and document solutions by working hands-on with stakeholders. * Define and implement an agile delivery method, test automation and QA processes for our reporting and analytic solutions. * Manage 3rd party/external development teams acting as a team lead/scrum master where necessary. * Work with our Head of Service Management and DevOps specialist to ensure that delivery aligns to our cloud and change management processes. * Perform unit and system acceptance testing against (non) functional requirements. * Contribute to the definition and maintenance of our target state solution architecture, development frameworks and delivery methods.
Performance & Quality:
* Continually update technical knowledge and skills by attending in-house and external courses, reading manuals and accessing new applications * Work with internal and third-party technology teams to ensure development activity is conducted to the expected level of quality and timeliness, providing constructive feedback and coaching where appropriate. * Effectively manage the balance of time spent developing new solutions versus providing support for incident and problem management.
Qualities and Skills:
Core:
* Detailed working knowledge of one or more market leading business intelligence platforms or tools (MicroStrategy, Qliksense, IBM Cognos, PowerBI, Tableau). * Expert knowledge of business intelligence concepts, data visualisation and analytic methods. * Data Modelling: The ability to design and implement effective database models that are optimised for reporting and analysis. * Extensive track record of business analysis and business process optimisation * 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. * DevOps Practices: Understanding of DevOps principles and CI/CD pipelines, and experience with tools like Azure DevOps or GitHub. * Understanding and experience working in Technology and Data teams in Asset Management, Investment Banking and general Financial Services sectors.
Desired:
* Stakeholder Relationship Management: Experience working with different stakeholders, understanding their needs and communicating effectively. Proven ability to maintain strong stakeholder relationships. * Big Data Technologies: Familiarity with big data technologies like Apache Spark, Hadoop. Even though they might not be needed directly, the understanding could help in broader data architecture discussions. * Certifications: Additional relevant certifications like the Azure Solutions Architect Expert, Azure DevOps Engineer Expert, or certification in other BI tools like Tableau. * Project Management: Experience with project management methodologies like Agile, Scrum, or Kanban, which can be useful in a team setting.
