Principal Responsibilities: The role holder will conduct customer strategy analysis focusing on acquisition, activation, retention, conversion, and LTV, and deliver actionable insights. Build and maintain customer segmentation frameworks to support targeted and personalized marketing and operations. Leverage advanced data analytics tools and methodologies to develop, validate, and optimize predictive models, contributing to generate high-quality leads. Analyze customer journey, conversion funnels, and drop-off points to identify bottlenecks and recommend experience improvements. Evaluate the performance of marketing campaigns, membership programs, loyalty initiatives, and promotional strategies by measuring ROI, conversion rate, and engagement metrics. Partner with product, marketing, operations, and customer teams to translate data insights into executable strategies and drive business decisions. Support the business team's campaign needs, including RM lead generation and manual SMS outreach. Develop and maintain customer-focused dashboards, KPIs, and reporting systems.

To be successful in the role, you should meet the following requirements: Minimum of 5 years' experience in one or multiple skills in data/business analytics in the financial or digital domains. Demonstrated experience in process and analysis of large amounts of data using one of these: Python, R, SQL, or SAS; on environments such as AWS, Google Cloud, or Hadoop. Knowledge and experience in AI, big data, machine learning, or predictive algorithms, statistics modeling, and data mining. Excellent communication and teamwork skills, able to collaborate effectively with different departments and stakeholders. Strong problem-solving skills and innovative thinking, able to translate complex business problems into data analytics solutions. Proven experience in one or more of: customer segmentation, digital marketing, data science, portfolio analytics, use of open-source data in analyses. Good English communication skills, able to collaborate effectively with domestic and international teams.

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