We are seeking an experienced and highly skilled Growth Analytics and Automation Lead to join the Growth team. The ideal candidate will have 5-7 years of experience in marketing technology and data science, demonstrating a robust understanding of both fields to drive our marketing strategies and initiatives.
Responsibilities
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.
