Sr. Analyst, Business Development

Royal Caribbean Group; Marche; On-site; EUR 42,000 - 62,000; Full time

Job summary

Royal Caribbean Group in Marche, Italy, seeks a Sr. Analyst, Business Development (Direct Sales Strategy) to deliver in-depth analysis, support strategic planning, and optimize direct sales operations.

You will work at the intersection of data, marketing and revenue, using Databricks and AI-assisted analytics to inform decisions and drive channel revenue. The role requires cross‑functional collaboration with eCommerce, Contact Center, Marketing and Revenue Management to implement initiatives

Qualifications

• Proven experience in sales analytics, data modeling, or business intelligence.
• Strong proficiency with Power BI, Excel, and analytics tools.
• Familiarity with Databricks or cloud data platforms is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to manage multiple projects across departments.
• Fluent English; additional European language is a plus.

Responsibilities

• Strategic Planning & Forecasting: support sales plans, KPIs forecasting and calendars.
• Performance Monitoring & Reporting: prepare KPI reports and dashboard requirements.
• Data Analysis & Insights: conduct direct sales analyses using Databricks and AI tools.
• Campaign Management: plan and monitor outbound campaigns and tools.
• Operational Support & Optimization: collaborate to improve processes and governance.
• Machine Learning Models Maintenance & Development: oversee model performance and testing with teams.
• Incentives & Budgeting Support: assist in forecasting incentives and HC planning.
• Stakeholder Engagement: bridge between functions to ensure alignment.
• Ad-Hoc Analysis: respond to special requests and deep dives with AI tools.

Skills

Sales analytics

Data modeling

Business intelligence

Power BI

Excel

Communication skills

Education

Bachelor's degree in Business, Economics, Data Science

Tools

Databricks

Job description

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Sr. Analyst, Business Development

Overview of Role:

The Senior Analyst, Business Development (Direct Sales Strategy) is a pivotal role responsible for delivering in-depth analysis, supporting strategic planning, and optimizing operational activities across the direct sales channels. Being part of the Commercial Planning department, the position provides critical insights to enable data-driven decision‑making, fosters cross‑departmental collaboration, and ensures the achievement of the channel revenue targets.

This role offers a unique opportunity to join a strategic function within the company’s growth engine, working at the intersection of data, marketing, revenue and consumer sales operations, with hands‑on use of modern data platforms (e.g., Databricks) and AI/machine learning tools. It provides exposure to high‑impact projects and the chance to influence decision‑making at a senior and executive level with impact on the company P&L, shaping the future of the organization’s direct sales success.

Key Responsibilities:

• Strategic Planning & Forecasting : Support the development and maintenance of the annual, quarterly and monthly sales plans, including target setting, direct sales modelling and KPIs forecasting, campaign calendar planning, risk assessment and cross‑departmental alignment.
• Performance Monitoring & Reporting : Prepare and analyze weekly, monthly, and quarterly reports covering KPIs such as sales volume, conversion rates, lead performance, and channel productivity. Collect and define business requirements for Power BI dashboards development to ensure reporting automation.
• Data Analysis & Business Insights : Conduct in-depth analysis on direct sales‑related topics, such as campaign results, segmentation, and service level, using tools such as Databricks and AI‑assisted analytics. Support A/B testing, impact assessments, and model evolution initiatives.
• Campaign Management : Support the planning, execution, and monitoring of outbound campaigns, aligning with the organization capacity plan. Negotiate commercial opportunities, analyze campaign performance, identify opportunities, and support the launch of new tools and features.
• Operational Support & Process Optimization : Collaborate across teams (eCommerce, Contact Center, Marketing, Revenue Management, etc.) to support process improvements, model implementations, and governance setups.
• Machine Learning Models Maintenance & Development : Oversee the performance evaluation and continuous improvement of predictive machine‑learning models. Coordinate with Consumer Sales, eCommerce, IT, Data engineering and AI & Analytics teams for new technologies, use cases ideation, data sources integration and A/B testing.
• Incentives & Budgeting Support: Assist in forecasting and budgeting for targets, incentives, and campaign planning aligned with sales plans and business goals. Support HC planning activities for Consumer Sales across multiple locations.
• Stakeholder Engagement: Act as a bridge between Commercial Planning, Marketing, eCommerce, Contact Center, and other stakeholders to ensure alignment and effective execution of initiatives.
• Ad-Hoc Analysis & Deep Dives: Respond to special requests for detailed analysis, including portfolio reallocations, performance gaps, and strategic initiatives, applying AI‑assisted analytical tools to accelerate turnaround.

Education:

• Degree in Business, Economics, Data Science, or related fields.

Years of experience:

• 1–3 years' experience in sales, marketing, eCommerce or finance, gained in consulting firms or the travel/hospitality industry.

Essential qualifications and skills:

• Proven experience in sales analytics, data modeling, or business intelligence, preferably within a sales or marketing environment.
• Strong proficiency with Power BI, Excel, and other analytics tools; familiarity with Databricks or similar cloud data platforms is a plus.
• Experience with predictive modeling, A/B testing, and model lifecycle management.
• Excellent analytical, problem‑solving, and communication skills.
• Ability to manage multiple projects, prioritize tasks, and work collaboratively across departments.
• Knowledge of CRM, campaign management, and marketing automation tools is a plus.
• Exposure to AI‑assisted analytics tools (e.g., generative AI for reporting, insight generation, or model development) is a plus.
• Fluent English, any additional European language is a plus
• Clear verbal and written communication skills