Blockchain2mo ago

Head of Business Intelligence

Londonexecutive

ManagementBusiness Intelligence

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Quick Summary

Requirements Summary

QA, metric validation, documentation, dashboards lifecycle management, and stakeholder comm

Technical Tools

ManagementBusiness Intelligence

Responsibilities

~2 min read

→Lead and inspire a team of BI / data analysts, fostering a culture of collaboration, ownership, and continuous improvement.
→Mentor and coach team members, supporting professional growth, skill development, and career progression.
→Recruit, develop, and retain top BI talent; set clear performance expectations and provide ongoing feedback.
→Own the company’s reporting strategy and execution, ensuring business-critical metrics and dashboards are accurate, consistent, and trusted.
→Define and maintain core KPI frameworks, metric definitions, reporting standards, and governance (single source of truth).
→Deliver executive-level reporting and key insights that guide strategic decisions, growth, efficiency, and risk management.
→Partner with leaders across Product, Growth, Trading, Fraud, Finance, and Operations to understand needs and translate them into scalable reporting solutions.
→Collaborate closely with the Data Engineering team to define requirements and priorities, ensure data quality and accessibility, improve data models and semantic layers for reporting.
→Drive alignment across teams on reporting definitions, tooling adoption, and analytics best practices.
→Oversee planning and delivery of BI initiatives, ensuring they align with business priorities, timelines, and high quality standards.
→Establish best practices for analytics workflow: QA, metric validation, documentation, dashboards lifecycle management, and stakeholder communication.
→Proactively identify reporting gaps, data inconsistencies, or bottlenecks - and work with partners to resolve root causes.

Responsibilities

~1 min read

→Experience in fintech, trading, crypto, or risk/compliance data domains.
→Proven experience leading BI / Analytics / Reporting teams, ideally in high-growth environments.
→Strong stakeholder management and communication skills, including the ability to translate complex data into clear business narratives.
→Experience with team building, performance management, mentorship, and talent development.
→Strong analytical mindset with the ability to identify and solve complex business problems through data.
→Deep understanding of KPI design, reporting frameworks, metric governance, and dashboard best practices.
→Strong proficiency in SQL, Python, BigQuery and Google Cloud Environments and a strong understanding of data modeling concepts.
→Strong project management capability: scoping, planning, prioritization, execution, and delivery.
→Proactive approach to addressing challenges and finding innovative solutions.
→Experience with modern BI tooling and semantic layers (e.g., Looker, Tableau, PowerBI, dbt metrics layers, etc.).
→Familiarity with data stack concepts such as Airflow, BigQuery, Spark, or streaming pipelines - enough to collaborate effectively with engineering teams.