Analyst - eCommerce Data

MSC Cruises; Miami (FL); Hybrid; USD 70,000 - 90,000; Full time

Job summary

MSC Cruises is expanding its eCommerce Analytics team in Miami. The Data Analyst will own eCommerce tracking plans, ensure data quality, and deliver actionable insights to Marketing and eCommerce groups.

This hybrid position requires four days a week in the Miami office. Ideal candidates will have 3–6 years of data analytics experience and proficiency in SQL and Python, among other skills.

Qualifications

• 3–6 years of experience in data analytics, with at least 2 years owning dashboards in a business setting.
• Proficiency in SQL and Python; experience with data wrangling and analysis.
• Comfort using AI tools to automate routine analytics tasks.

Responsibilities

• Own the eCommerce data tracking plan and ensure accurate user event instrumentation.
• Build and maintain automated data pipelines to monitor key eCommerce KPIs.
• Deliver actionable insights from raw web and transaction data.

Skills

Data analytics

SQL

Python

Reporting

Cloud data warehouses

Dashboarding tools

AI tools

Web analytics

A/B testing

Communication skills

Education

Bachelor’s or Master’s Degree in Business, Marketing, Data Science, Computer Science, Engineering, or Mathematics

Tools

Power BI

Adobe Analytics

Google Analytics

Tableau

Snowflake

Job description

About the Role

MSC Cruises, the world’s third-largest cruise brand, is expanding its eCommerce Analytics team in the USA. Reporting to the Director of eCommerce Testing & Analytics, the Data Analyst will own eCommerce tracking plans, ensure data quality through release cycles, build data pipelines to automate monitoring of eCommerce KPIs, and deliver actionable product and commercial performance insights to Marketing and eCommerce groups.

This is a hybrid position requiring 4 days per week in the office, Miami downtown.

Key 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 KPI—such as 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: 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.

Qualifications

• 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; knowledge of tools such as GTM and Adobe Launch for 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.
• Experience working with e-commerce, revenue, or consumer-facing data preferred.
• Willingness to travel occasionally to corporate headquarters in Geneva and to operational locations, as needed.

Essential Requirements

• US Passport or US Permanent Resident.
• MSC Cruises is an e-verify employer.

EEO Statement

MSC Cruises USA is an equal opportunity employer that complies with EEOC rules and regulations. It is our policy to employ and promote qualified candidates without discrimination on the basis of race, color, sex, age, origin, sexual orientation, marital status, disability, or any other characteristic protected by law. Our hiring decisions are based solely on merit, qualifications and business needs.