CXM Direct

Cast, extrude, and finish engineered brass

Head of Analytics - Global Multi-Product Broker

Data Engineering +1Confirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A bachelor's degree in Analytics, Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field is required.
Significant experience in Analytics, Business Intelligence, or Data Leadership roles is required.
Experience building an analytics function from the ground up is required.
A strong background in financial services, brokerage, fintech, cryptocurrency, trading platforms, or similar digital businesses is required.
Demonstrated experience implementing multi-touch attribution models is required.
Proven success designing analytics architecture and selecting technology stacks is required.
Experience leading cross-functional analytics initiatives is required.
Experience managing or mentoring analytics professionals is required.
Knowledge of data warehousing, ETL/ELT architecture, SQL, Python or R, business intelligence tools, marketing attribution platforms, event tracking frameworks, data modeling, dashboard development, statistical analysis, experiment design (A/B testing), and data governance is required.

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 return-on-investment and customer acquisition insights across all marketing channels.
Establish standardized marketing performance metrics.
Develop real-time executive dashboards and key performance indicator reporting.
Create a single source of truth for business-critical metrics.
Build reporting frameworks across CFDs, cryptocurrency, proprietary 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.
Collaborate 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.
Build the analytics infrastructure and technology stack; implement event tracking across customer touchpoints; deploy a centralized data warehouse and transformation pipelines; launch UUID-based attribution across marketing channels; and establish data governance and documentation.
Develop and implement the canonical data model, standardize key business entity and KPI definitions, and align stakeholders around consistent business metrics.
Deliver real-time KPI dashboards across business lines, launch an experimentation and hypothesis testing framework, enable data-driven decisions by marketing and product teams, and begin scaling the analytics organization through strategic hiring.

Desired Qualifications

A master's degree is advantageous.

Head of Analytics - Global Multi-Product Broker

CXM Direct LLC · Cyprus (Remote) · Full-time · Posted 2026-10-06

Workplace: remote

Department: Marketing

Description

Job Description (JD)

Job Title

Head of Analytics – Global Multi-Product Broker

Location

Limassol, Cyprus (Hybrid) or Remote (UTC−1 to UTC+4)

Reporting To

Chief Marketing Officer (CMO)

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 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.

Key Responsibilities

Analytics Strategy & Leadership

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.

Data Infrastructure & Architecture

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.

Marketing & Attribution Analytics

Design and implement multi-touch attribution across:
Paid Search
Paid Social
Affiliate Marketing
Mobile Acquisition
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.

Business Intelligence & Performance Reporting

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.

Experimentation & Decision Science

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.

Stakeholder Management

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.

Team Building

Lead, coach, and develop embedded analysts.
Design the future analytics team structure.
Recruit and onboard analytics talent aligned with company culture and business goals.

Key Deliverables (First 12 Months)

Months 1–6

Build the analytics infrastructure and technology stack.
Implement event tracking across all customer touchpoints.
Deploy centralized data warehouse and transformation pipelines.
Launch UUID-based attribution across all marketing channels.
Establish data governance framework and documentation.

Months 6–9

Develop and implement the organization's canonical data model.
Standardize definitions for key business entities and KPIs.
Align stakeholders around consistent business metrics.

Months 9–12

Deliver real-time KPI dashboards across all business lines.
Launch experimentation and hypothesis testing framework.
Enable marketing and product teams to make data-driven decisions.
Begin scaling the analytics organization through strategic hiring.

Requirements

Required Qualifications

Bachelor's degree in Analytics, Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field.
Master's degree is advantageous.

Experience Required

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
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

Core Competencies

Strategic Thinking
Analytical Problem Solving
Leadership & Team Development
Stakeholder Management
Business Acumen
Communication & Influencing Skills
Decision Making
Change Management
Project Ownership
Innovation Mindset

Success Profile

The ideal candidate has:

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.

Benefits

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.

Apply

Apply at CXM Direct LLC

About the Company

CXM Direct

Cast, extrude, and finish engineered brass

CXM Direct produces engineered brass and bronze alloys for shapes, profiles, bars, rods, and tubes, cast, extruded, drawn, and finished to AMS and ASTM standards at a 200,000-square-foot facility in Cicero, Illinois. Its in-house brass mill casts, extrudes, and finishes a range of engineered shapes and customized rod products, with alloys designed for repeatable chemistry and tight process control to reduce downstream machining. The company differs from others by offering a fully integrated in-house workflow from melting to finishing and by delivering both limited-volume and high-volume runs with consistent material properties. Its goal is to provide precisely engineered metals that streamline manufacturing and minimize finishing needs for customers.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Chicago, IL
Founded: 1923

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