Job Description

We are seeking an Sr. Analyst of Booked Guests Ecommerce. This position supports the promotion of 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 the evaluation of marketing campaigns, product launches, and development releases, with a focus on impacts to web traffic, web conversion, and revenue. Collaborate with team members to maintain, develop, execute, and analyze marketing actions, optimizing recommendations and influencing channel owners and executive team members on a periodic basis. The ideal candidate must have a minimum 4 years of work experience (or equivalent academic experience) with extensive hands-on experience with SQL.

ESSENTIAL FUNCTIONS

Business intelligence

• Develop, automate, and maintain the cross-channel real-time dashboards and static reports that help marketers focus on what is important or what are outliers that require action

Advanced Analytics & Predictive modeling

• Analyze and develop site path analysis with emphasis on increased conversion and ROI.
• Suggest A/B testing scenarios and manage statistical analysis and reporting process.
• Collate and develop best practices on building, testing and deploying predictive models. Example includes but not limited to: eDM optimization, paid media optimization, customer journey analysis, social media analysis, customer segmentation model, personalization/preference model, etc.
• Maximize the use of state-of-the-art technologies and advanced analytics (A.I., Machine Learning, Data Mining, etc.) to implement predictive models, decision engines, marketing metrics, and marketing strategies for properties in North America.
• Monitor the results of the productionalized advanced analytical models and develop triggers to identify when model performance is outperforming and/or underperforming against criteria
• Perform data visualization to explore unhypothesized trends and relationships in the data

Channel Performance Analysis & Strategic Planning

• Challenge the way we do business through application of advanced analytics to integrate insights in the operational workflow
• Develop reporting based on unique KPIs for each channel that will show the performance relative to our goals
• Communicate to channel owners and executive leadership the channel performance relative to goals
• Participate in strategic discussions across channels to understand optimization opportunities and how they impact performance, provide recommendations and influence decisions.
• Help to drive recommendations on specific KPIs that may differ across channels and develop reporting around those metrics
• Develop projections based on current performance and additional dashboard/reporting that will help guide channel owners to make better decisions

QUALIFICATIONS

• Bachelor’s Degree and/or Master's Degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Economics, Finance, Financial Engineering, or related fields.
• Minimum 4 years of work experience (or equivalent academic experience). Experience in travel, hospitality, financial services or internet/mobile industries is a plus.
• Experience working in a corporate environment that required planning amongst cross-functional business units.
• Experience or interest in Cruise Industry/marketing.
• 2- 4+ years hands-on experience with SQL.
• 1+ years hands-on experience with R/Python/Java. Experience with SAS is a plus.
• Good understanding in basic Statistics and Math is required. 
• Experience with Adobe Analytics or Google Analytics is a plus
• Experience with Insite, Tealium, or similar tagging tools is a plus
• Experience with Adobe Test & Target, Optimizely, or similar testing tools 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.
• Experience in applying business automation and predictive analytics in the travel & entertainment industries or ecommerce or marketing is a plus.
• Understanding of Web/Marketing Technology is a plus.
• Understanding and/or hands-on experience with GCP, AWS, Hadoop, Spark is a plus.
• Self-motivated, proactive, and confident working independently. • Customer Intelligence

About Us