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2 days ago
A Data Science Campaign Manager plays a pivotal role in leading data science-driven marketing initiatives.
Campaign Strategy and Execution- Design and execute data-driven campaign strategies that align with overall marketing objectives and leverage customer insights.
- Collaborate with data science teams to identify key metrics and analytical models that enhance campaign performance.
- Manage the end-to-end campaign process, from planning and setup through execution and post-campaign analysis.
This involves utilizing advanced analytics tools to monitor campaign performance, providing actionable insights and recommendations for continuous improvement.
Key Responsibilities- Cross-Functional Collaboration: Work closely with cross-functional teams, including marketing, sales, and product development, to foster a data-centric culture.
- Industry Trends: Stay current with industry trends in data-driven marketing and analytics, applying best practices to enhance campaign effectiveness.
- Project Management: Manage project timelines, ensuring projects are delivered on schedule and within allocated resources.
- Education: A Bachelor's degree in Data Science, Marketing, Statistics, or a related field; a Master's degree is preferred.
- Experience: 5+ years of experience in campaign management or marketing analytics, with a strong focus on data-driven strategies.
- Track Record: A proven track record of successfully managing and executing complex marketing campaigns.
- Skills: Strong analytical skills, with expertise in data visualization tools (e.g., Tableau, Power BI) and statistical analysis.
- Platform Proficiency: Proficiency in marketing automation platforms and CRM systems.
- Communication: Excellent communication and interpersonal skills to effectively collaborate with diverse teams.
- Adaptability: Ability to thrive in a fast-paced environment and manage multiple priorities effectively.
- Problem-Solving: Creative problem-solver with a strategic mindset and results-oriented approach.
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