Head of Analytics – Global Multi-Product Broker

Job not on LinkedIn

🕒 July 1

🌐 Cyprus, Bulgaria, +4 more countries – Remote

🇨🇾 Cyprus – Remote 🇧🇬 Bulgaria – Remote 🇵🇱 Poland – Remote 🇷🇺 Russia – Remote 🇦🇪 United Arab Emirates (UAE) – Remote 🇬🇪 Georgia – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 51%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CXM Direct

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💸 Finance

💳 Fintech

Finance • Fintech

CXM Direct is a global forex and CFD broker offering a wide range of trading instruments including currencies, commodities, indices, energy products, and cryptocurrencies. With advanced trading platforms such as MetaTrader 4 and 5, CXM Direct provides innovative trading solutions tailored to the needs of professional traders. The company offers various account types and services such as leverage policies, instant deposits, and withdrawals, ensuring a seamless trading experience. Regulated in multiple jurisdictions, CXM Direct emphasizes safety and sophistication in trading, positioning itself as a pioneer in the online trading environment.

📋 Description

• 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 for 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 ROI and customer acquisition insights across marketing channels • 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 analytical findings into actionable business recommendations • Establish hypothesis testing and experimentation frameworks • Design and evaluate A/B tests and controlled experiments • Ensure 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 • Build analytics infrastructure and technology stack during months 1–6 • Implement event tracking across customer touchpoints • Deploy centralized data warehouse and transformation pipelines • Launch UUID-based attribution across marketing channels • Establish data governance framework and documentation • Develop the canonical data model and standardize business entities and KPIs during months 6–9 • Deliver real-time KPI dashboards and launch experimentation frameworks during months 9–12 • Enable marketing and product teams to make data-driven decisions • Scale the analytics organization through strategic hiring

🎯 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 • 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 • 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

• 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