蚂蚁金服蚂蚁国际-Data & Analytics Lead-Marketing Operation

任职要求

● Fluent English and Chinese 
● 7+ years of experience in a data analysis role within a marketing environment ideally in financial services and/or a regulated industry.
● Advanced proficiency in data analysis tools such as Google Analytics, SQL, R, or Python.
● Proven ability to create and maintain dashboards using BI and data visualization tools (e.g., Power BI, Tableau, Looker) and analytics platforms (e.g., Google Analytics, Adobe Analytics).
● Strong communication and stakeholder management skills, with the ability to translate complex data into clear business insights.
● Excellent analytical and problem-solving skills with a high attention to detail.
● Experience working with cross-functional teams in a fast-paced and constantly changing environment.

工作职责

We are a dynamic and forward-thinking organization that focuses on leveraging data analytics to drive demand generation, enhance marketing efficiency, and improve decision-making processes. As the Data & Analytics Lead, you will play a critical role in leading our data strategy and delivering actionable insights to optimize marketing performance. This role offers you a chance to contribute significantly to shaping the data and analytics foundation of a growing business.

Key Responsibilities:
1. Data Platform & Dashboard Development
- Architect, develop, and maintain the company’s data platform, integrating data across multiple sources to enable seamless analytics processes.
- Design and implement dashboards using modern data visualization tools (e.g., Tableau, Power BI, Looker) for real-time measurement of KPIs.
- Ensure consistent data governance standards to maintain accuracy, security, and usability of the data ecosystem.
2. Paid Media & Digital Analysis
- Conduct in-depth performance analysis of paid media campaigns across digital channels, including SEM, display advertising, social media, and more.
3. CRM Management
- Manage CRM systems to consolidate and leverage customer data for sales and marketing activities.
- Analyze customer behaviors and lifecycle data to improve segmentation, engagement, and retention efforts.
4. Event & Multi-Channel Demand Generation Optimization
- Evaluate the effectiveness of events, webinars, and campaigns across online and offline channels.
- Provide actionable insights to optimize demand generation strategy across email marketing, paid ads, events, and other channels.
- Monitor lead generation performance and implement strategies for improving campaign impact.
5. Multi-Channel & Closed-Loop Analysis
- Build and implement closed-loop analytics systems across marketing and sales channels to track customer journeys and conversion pathways.
- Analyze the effectiveness of telemarketing efforts, focusing on metrics like conversion rates, lead quality, and customer acquisition cost (CAC).
- Deliver cross-channel attribution insights and optimization solutions to ensure seamless integration across all touchpoints.
6. Marketing ROI Optimization
- Develop and maintain robust ROI models to measure and forecast returns on marketing investments across all activities.
- Provide actionable recommendations to continually improve efficiency and effectiveness of the marketing spend.