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Head of Analytics - Global Multi-Product Broker

CXM
Dubai, UAE
Full Time
Director
Hybrid
5 days ago
Data WarehousingETL/ELT ArchitectureSQLPythonBusiness IntelligenceMarketing Attribution
Free

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About The Role

  • We are seeking an experienced Head of Analytics to establish and lead our analytics function from the ground up.
  • This is a unique opportunity to define the company's data strategy, build the analytics architecture, and create the foundations for data driven decision making.
  • Operating across CFDs, cryptocurrency, proprietary trading, and prediction markets.

Key Responsibilities

  • Build and lead the company's first centralized analytics function.
  • Define the long term analytics vision, roadmap, and operating model.
  • Establish data governance standards, metric definitions, and reporting frameworks.
  • Partner with executive leadership to enable data driven strategic decisions.
  • Direct and mentor embedded analysts across multiple business functions.
  • Design and implement the end to end analytics technology stack.
  • Select and deploy data warehousing, transformation, visualization, and reporting solutions.
  • Build scalable analytics infrastructure to support multiple financial products.
  • Develop a canonical data model across the organization.
  • Ensure data quality, consistency, accessibility, and governance.
  • Design and implement multi touch attribution across paid, organic, and partner channels.
  • Build unified customer journey tracking from first interaction through trading activity.

Requirements

  • Bachelor's degree in Analytics, Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field; Master's degree is advantageous.
  • Significant experience in Analytics, Business Intelligence, or Data Leadership roles.
  • Experience building an analytics function from the ground up.
  • Strong background in financial services, brokerage, fintech, cryptocurrency, trading platforms, or similar digital businesses.
  • Demonstrated experience implementing multi touch attribution models.
  • Proven success designing analytics architecture and selecting technology stacks.
  • Experience leading cross functional analytics initiatives.
  • Experience managing or mentoring analytics professionals.
  • Technical skills: Data Warehousing, ETL/ELT Architecture, SQL, Python or R, BI tools, Marketing Attribution Platforms, Event Tracking Frameworks, Data Modeling, Dashboard Development, Statistical Analysis, Experiment Design, Data Governance.

Key Deliverables (First 12 Months)

  • Months 1 6: Build analytics infrastructure, implement event tracking, deploy data warehouse, launch UUID based attribution, establish data governance.
  • Months 6 9: Develop canonical data model, standardize definitions, align stakeholders.
  • Months 9 12: Deliver real time KPI dashboards, launch experimentation framework, enable data driven decisions, begin scaling team.

Why Join Us

  • Build the analytics function from the ground up with full ownership.
  • Define the company's data architecture, governance, and reporting standards.
  • Shape the future of analytics across multiple global trading products.
  • Influence executive decision making at the highest level.
  • Build and lead a high performing analytics team.
  • Opportunity to make a lasting impact on a fast growing global organization.

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