Analyst - eCommerce Data

MSC Cruises•Miami, FL

1d•Hybrid

About The Position

MSC Cruises is expanding its eCommerce Analytics team in the USA. The Data Analyst will be responsible for owning eCommerce tracking plans, ensuring data quality, building data pipelines to automate monitoring of eCommerce KPIs, and delivering actionable eCommerce product and commercial performance insights. This is a hybrid position requiring 4 days per week in the office, in Miami downtown.

Requirements

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.
Proficiency in SQL and Python; experience with data wrangling, analysis, and light scripting.
Comfort using AI tools and agentic coding assistants (e.g., Claude Code) to work faster, automate routine analytics tasks, and raise the quality bar.
Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
Familiarity with dashboarding tools (e.g., Tableau, Power BI, Looker).
Working experience with enterprise web analytics platforms such as Adobe Analytics and/or Google Analytics (GA4).
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.
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.
US Passport or US Permanent Resident

Nice To Haves

Experience working with ecommerce, revenue, or consumer-facing data preferred.
Willingness to travel occasionally to corporate headquarters in Geneva and to operational locations, as needed.

Responsibilities

Own the end-to-end eCommerce data tracking plan and partner with HQ tagging and web development teams to ensure 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 eCommerce 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.
Support the team’s transition to Adobe Analytics help re-implement and validate tracking on the Adobe stack, confirm data parity with the prior Google Analytics implementation, and ensure continuity of KPI reporting through the migration.
Craft and deliver presentations to team executives detailing changing web behavior trends and opportunities to optimize the web experience.
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.
Use modern AI tooling including agentic coding assistants such as Claude Code to accelerate pipeline and dashboard development, automate repetitive analysis and QA, and prototype new solutions quickly.