Business Intelligence & Insights Manager
* Lead a talented team of analysts and data scientists to deliver high-impact insights, dashboards, and reports that drive smarter decisions and ensure regulatory compliance.
* Design and manage robust MI and reporting frameworks that provide actionable insights into financial crime trends and operational performance.
* Collaborate cross-functionally with stakeholders to deliver timely, accurate, and relevant MI outputs.
* Oversee the development of dashboards, visualisations, and presentations that clearly communicate complex data to diverse audiences.
* Ensure data integrity through the implementation of rigorous QA processes and standards.
Key Responsibilities:
* Manage a multidisciplinary team of data analysts, data scientists, and QA analysts.
* Develop and implement effective MI and reporting strategies that meet business needs.
* Collaborate with stakeholders to identify and address key business challenges.
* Design and implement data visualization solutions that effectively communicate complex data insights.
* Maintain data quality and integrity by implementing and enforcing robust QA processes and standards.
Required Skills and Qualifications:
* Proven experience managing teams across data analysis, data science, and quality assurance.
* Strong technical expertise in data manipulation & ETL (e.g. SQL, Python) and data visualisation tools (e.g. Tableau, Power BI).
* Solid understanding of QA methodologies in a data environment.
* Excellent project management skills with the ability to juggle multiple priorities.
* Strong communication skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.
Benefits:
* Hybrid work model with 2/3 days onsite.
* Opportunity to lead and inspire a talented team of professionals.
* Chance to develop and implement innovative MI and reporting strategies.
Others:
This is a 12 month contract under a hybrid model, 2/3 days a week onsite. We're looking for a senior member of the team who can lead and inspire a multidisciplinary team of data analysts, data scientists, and QA analysts.