Head of Analytics - Global Multi-Product Broker

CXM Direct LLC

3d•Hybrid

About The Position

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 across a rapidly growing multi-product brokerage business. Operating across CFDs, cryptocurrency, proprietary trading, and prediction markets, the business has reached significant scale without a centralized analytics function. As the first Head of Analytics, you will have full ownership of building the data ecosystem, defining business metrics, implementing attribution models, and establishing analytics best practices that will shape the organization for years to come.

Requirements

Bachelor's degree in Analytics, Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field.
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.
Data Warehousing
ETL/ELT Architecture
SQL
Python or R
Business Intelligence tools (Power BI, Tableau, Looker, etc.)
Marketing Attribution Platforms
Event Tracking Frameworks
Data Modeling
Dashboard Development
Statistical Analysis
Experiment Design (A/B Testing)
Data Governance
Strategic Thinking
Analytical Problem Solving
Leadership & Team Development
Stakeholder Management
Business Acumen
Communication & Influencing Skills
Decision Making
Change Management
Project Ownership
Innovation Mindset

Nice To Haves

Master's degree is advantageous.
Built multi-touch attribution across paid, organic, and partner marketing channels.
Designed analytics architecture from a greenfield environment.
Experience within CFD, crypto, brokerage, fintech, or adjacent financial services.
Successfully aligned stakeholders around standardized data definitions.
Driven experimentation and evidence-based decision-making.
Demonstrated confidence in challenging assumptions with data.
A builder mindset who views the absence of existing infrastructure as an opportunity.

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 Search, Paid Social, Affiliate Marketing, Mobile Acquisition, and Partner Programs.
Build unified customer journey tracking from first interaction through trading activity.
Deliver accurate ROI and customer acquisition insights across all marketing channels.
Establish standardized marketing performance metrics.
Develop real-time executive dashboards and KPI reporting.
Create a single source of truth for business-critical metrics.
Build reporting frameworks across CFDs, Crypto, Prop Trading, and Prediction Markets.
Translate complex analytical findings into actionable business recommendations.
Establish a company-wide hypothesis testing and experimentation framework.
Design and evaluate A/B tests and controlled experiments.
Ensure business decisions are supported by statistically sound analysis.
Champion a culture of evidence-based decision making.
Collaborate closely with Marketing, Product, Technology, Operations, and Commercial teams.
Resolve cross-functional alignment on data definitions and reporting standards.
Present analytical insights to senior leadership and executive stakeholders.
Lead, coach, and develop embedded analysts.
Design the future analytics team structure.
Recruit and onboard analytics talent aligned with company culture and business goals.