Analyst Sr., Booked Guest Ecommerce

This position enables a data-driven culture within the E-commerce & Guest Technology team, providing reporting and insights to drive sound resource allocation and business decisions. This individual supports multiple channels in evaluating marketing campaigns, product launches, and development releases, focusing on impacts on web traffic, conversion, and revenue. This person will continuously analyze business trends, processes, and opportunities based on statistical information and insights from machine learning and operational reviews.

Responsibilities

• Develop, automate, and maintain the cross-channel real-time dashboards (Tableau & Google Analytics) and statistic reports that help marketers identify outliers and prioritize actions for business & technical audiences.

• Analyze complex data sets to identify trends, patterns, and insights using GA4 with online behavior (impressions, clicks, conversions, page views, time spent, etc.) to drive strategic business decisions.

• Conduct A/B testing scenarios & manage statistical analysis reporting processes to optimize email and lead nurturing strategies.

• Develop best practices for building, testing, and deploying predictive models for eDM and paid media optimization, customer journey, social media, customer segmentation, personalization, and preference analysis.

• Produce visually engaging regular reports & visualizations to monitor campaign/model effectiveness, uncover trends and relationships, and provide actionable insights for continuous improvement.

• Develop repeatable and self-serve reporting mechanisms, enabling in-depth analysis of performance across the pipeline, content, channels, and campaigns.

• Build and maintain executive relationships with operations as the data analytics SME by influencing decision-making as a valued thought partner.

• Performs other duties as assigned

Requirements

• Bachelor's required, Master's preferred, in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Economics, Finance, Financial Engineering, or related fields.

• 5+ years work experience in related field. Experience in travel/cruise industry, hospitality, marketing, financial services, or internet/mobile industries is a plus. 

• Direct involvement in working with large volumes of data and building, deploying, and measuring (a) predictive analytics models (i.e., SVM, decision tree, clustering, logistic regression, linear and non-linear regression), (b) test/control offers, and (c) real-time marketing rules; experience with US and Asian markets preferred

• Hands-on experience with enterprise web analytics, such as Adobe Analytics, Google Analytics, or similar web analytics tools 

• 2-4+ years of hands-on experience with SQL. 

• 1+ years hands-on experience with R/Python/Java. Experience with SAS is a plus. 

• Understanding of Web/Marketing Technology is a plus

• Understanding and/or hands-on experience with GCP, AWS, Hadoop, and Spark is a plus

• General understanding of revenue management concepts and principles

• Experience working in a corporate environment that required planning amongst cross-functional business units. 

• This position is classified as “in-office.” As an in-office role, it requires employees to work from a designated Carnival office in South Florida Monday through Thursday each week. Employees may work from their home on Fridays. Candidates must be located in (or willing to relocate to) the Miami/Ft. Lauderdale area. 

At Carnival, your total rewards package is much more than your base salary. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Director and above roles may also be eligible to participate in Carnival’s discretionary equity incentive plan. Plus, Carnival provides comprehensive and innovative benefits to meet your needs, including: 

• Health Benefits: 

  • Cost-effective medical, dental and vision plans