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Crypto.com
Growth Analytics and Automation Lead
6 days ago | 35 views | 1 applications

Growth Analytics and Automation Lead

Full-time
Hong Kong, Asia
Per year
$68,000 To $75,000

About the company

The World's Leading Cryptocurrency Platform

Job Summary

Responsibilities

šŸ“Marketing Technology Platform Integrations: šŸ“Lead the integration of various marketing technology platforms to enhance marketing capabilities. šŸ“Ensure seamless operation and communication between systems, leveraging tools such as Segment, Google Tag Manager, and Appsflyer. šŸ“Marketing Measurement: šŸ“Develop and implement comprehensive measurement frameworks to assess the effectiveness of marketing campaigns. šŸ“Utilize advanced analytics to inform strategic decisions based on performance and ROI metrics. šŸ“Bidding and Automation: šŸ“Design and implement automated bidding strategies to optimize ad spend across digital channels. šŸ“Leverage data science and machine learning techniques to enhance marketing automation and streamline campaign execution. šŸ“Segmentation and Modelling: šŸ“Conduct sophisticated customer segmentation and build predictive models to identify key customer insights. šŸ“Perform analyses on customer lifetime value and tailor strategies to enhance targeting and personalization efforts. šŸ“General Responsibilities: šŸ“Collaborate closely with cross-functional teams, to align initiatives with broader business objectives and drive progress. šŸ“Stay current with industry trends and emerging technologies in marketing and data science to drive innovation. šŸ“Mentor junior team members and contribute to the development of data science best practices within the team.

Requirements

šŸ“Bachelorā€™s or Masterā€™s degree in Marketing, Data Science, Computer Science, Statistics, or a related field. šŸ“5-7 years of experience in marketing technology, data science, or a related area. šŸ“Proficiency with data analysis and visualization tools (e.g., Python, R, SQL, Tableau). šŸ“Experience with marketing automation and CRM platforms, specifically integrations with tools such as Segment. šŸ“In-depth knowledge of website analytics and app attribution tools such as Google Analytics, Google Tag Manager, and Appsflyer. šŸ“Strong understanding of machine learning techniques and predictive modeling. šŸ“Understanding in marketing measurement frameworks and execution of bidding and automation strategies. šŸ“Strong communication and collaboration skills, with the ability to convey complex concepts to non-technical stakeholders. šŸ“Proven track record of successfully managing and executing data-driven marketing projects.

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