Head of Analytics

CXM Direct LLCFinancial services, brokerage

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

Salary not disclosed

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Job Details

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.
Experience designing analytics architecture and selecting technology stacks.
Experience leading cross-functional analytics initiatives.
Experience managing or mentoring analytics professionals.
Knowledge of data warehousing and ETL/ELT architecture.
Proficiency in SQL and Python or R.
Experience with business intelligence tools such as Power BI, Tableau, or Looker.
Knowledge of marketing attribution platforms, event tracking frameworks, data modeling, dashboard development, and statistical analysis.
Experience with experiment design, including A/B testing, and data governance.
A master's degree is advantageous.

Build and lead the company's first centralized analytics function and define its vision, roadmap, and operating model.
Establish data governance standards, metric definitions, and reporting frameworks.
Partner with executive leadership to support data-driven strategic decisions.
Design and implement the end-to-end analytics technology stack, including warehousing, transformation, visualization, and reporting solutions.
Develop a canonical data model and ensure data quality, consistency, accessibility, and governance.
Implement multi-touch attribution and unified customer journey tracking across marketing channels and trading activity.
Develop executive dashboards, KPI reporting, and a single source of truth for business-critical metrics.
Establish an experimentation framework and design and evaluate A/B tests and controlled experiments.
Collaborate with Marketing, Product, Technology, Operations, and Commercial teams to align data definitions and reporting standards.
Lead, coach, recruit, and develop analytics talent.

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