MSC Cruises is expanding its eCommerce Analytics team and needs a Data Analyst to own eCommerce tracking plans, ensure data quality, build data pipelines, and deliver actionable insights to drive growth in web revenue and user satisfaction.
Requirements
- Proficiency in SQL and Python; experience with data wrangling, analysis, and light scripting.
- Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Familiarity with dashboarding tools (e.g., Tableau, Power BI, Looker).
- Working experience with web analytics tools such as Google Analytics or Adobe Analytics.
- General knowledge of A/B testing tools such as A/B Tasty, Optimizely, or Adobe Target.
- General understanding of web development as it relates to web tagging and analytics.
- General knowledge of tools such as GTM and Adobe Launch as they relate to tag implementation and management.
Responsibilities
- Own the end-to-end eCommerce data tracking plan and partner with HQ tagging and web development teams to ensuring all user events and transactions are instrumented accurately and validated through each release cycle.
- Build and maintain automated data pipelines that monitor key eCommerce KPIs—site traffic, conversion rates, average order value, cart abandonment—and alert the team to trends or anomalies in real time.
- Structure raw web and transaction data into clear, actionable insights; deliver regular and ad-hoc analyses that guide marketing, product, and commercial decisions.
- Partner with the Director of Testing & Analytics and the eCommerce product team to define measurement requirements, map user journeys, and surface product performance drivers.
- Design and enhance self-serve reporting tools (e.g., Power BI, Looker), translating stakeholder needs into intuitive dashboards with robust business logic and usability in mind.
- Ensure data integrity and trust by auditing tracking implementations, troubleshooting discrepancies, and collaborating with engineering to resolve issues.
- Identify opportunities to integrate AI and predictive analytics—such as personalization engines, propensity models, and dynamic pricing—and help roadmap the tools and data required to support them.
Other
- This is a hybrid position requiring 3 days per week in the office, in Miami.
- Bachelor’s or Master’s Degree in Business, Marketing, Data Science, Computer Science, Engineering, Mathematics, or 4+ years related experience.
- 3–6 years of experience in data analytics, with at least 2 years owning dashboards and reporting in a business setting.
- Strong communication skills—able to explain data clearly to both technical and non-technical audiences.
- Ability to work independently, prioritize ruthlessly, and move fast with limited oversight.
