Head of Analytics (Fintech)

Cryptopay is a leading provider of innovative financial technology solutions specializing in cryptocurrency payments processing for corporate clients. We empower businesses to transact seamlessly and securely in the digital currency landscape, providing robust solutions tailored to meet the unique needs of our clients.

Responsibilities

Team Management:

• Recruitment, training and development of the analytics team.
• Task assignment, optimizing team performance.
• Conducting regular meetings with the team to discuss progress, challenges and strategies to improve department processes.
• Conducting regular 1:1.

Strategy Development:

• Defining and implementing strategies to utilize data to achieve business objectives.
• Interacting with company leadership to develop data-driven strategic decisions.

Communication and Collaboration:

• Interacting with other departments to understand their needs and develop appropriate analytical solutions.
• Presenting analytical findings and recommendations to management and other stakeholders.
• Facilitating data-driven decision making.

Infrastructure and technology:

• Develop and maintain analytical infrastructure including data warehouses, ETL processes(Extract, Transform, Load) and data visualization tools.
• Ensuring high performance and reliability of analytic infrastructure.

Implement best practices for data and process automation.

Data Quality Control:

• Ensuring high data quality and reliability.
• Developing and implementing data quality control standards and procedures.

Reporting and Alerting:

• Creating regular and adhoc reports, visualizing data for different stakeholders.
• Setting up an alerting system for timely notification of important changes in data or indicators

Metrics:

• Create and then keep current a metrics hierarchy (metrics pyramid) that maps high-level business objectives to specific product metrics.
• Identify key product metrics that best reflect the health and performance of the product.

Integrating analytics into the product development process:

• Ensuring the analytics team works closely with product managers, designers and developers.
• Implementing analytic insights throughout the product lifecycle: from concept to launch and subsequent improvement.

A/B testing and experimentation:

• Lead the planning and execution of A/B tests and other experiments to evaluate product changes.
• Analyze test results and formulate recommendations based on data

Requirements

• Proven experience in data analytics at least 5 years of experience
• 2+ years of experience leading and managing data analytics teams
• Strong understanding of data analytics techniques, visualization tools and ETL processes
• Experience in developing data-driven strategies
• The ability to collaborate effectively with cross-functional teams, build relationships, and influence decision-making processes
• Knowledge of modern data tools and technologies
• Experience creating and keeping current a hierarchy of metrics to move high-level business objectives to specific product metrics
• Experience leading the planning and execution of A/B tests and other experiments
• Strong leadership skills with the ability to mentor, guide, and motivate a team of data analysts, fostering their growth and development
• English Upper Intermediate

Conditions

• Work in a remote mode in EU working hours
• Strong team of professionals and growth opportunities within the company
• Adequate management that hears and listens, and in case of controversial decisions is guided by numbers
• Comfortable working conditions.