Growth Analytics and Automation Lead

Responsibilities

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Marketing Technology Platform Integrations:
• Lead the integration of various marketing technology platforms to enhance marketing capabilities.
• Ensure seamless operation and communication between systems, leveraging tools such as Segment, Google Tag Manager, and Appsflyer.


Marketing Measurement:
• Develop and implement comprehensive measurement frameworks to assess the effectiveness of marketing campaigns.
• Utilize advanced analytics to inform strategic decisions based on performance and ROI metrics.


Bidding and Automation:
• Design and implement automated bidding strategies to optimize ad spend across digital channels.
• Leverage data science and machine learning techniques to enhance marketing automation and streamline campaign execution.


Segmentation and Modelling:
• Conduct sophisticated customer segmentation and build predictive models to identify key customer insights.
• Perform analyses on customer lifetime value and tailor strategies to enhance targeting and personalization efforts.


General Responsibilities:
• Collaborate closely with cross-functional teams, to align initiatives with broader business objectives and drive progress.
• Stay current with industry trends and emerging technologies in marketing and data science to drive innovation.
• Mentor junior team members and contribute to the development of data science best practices within the team.

Requirements

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