[Hiring] Senior Business Analyst, Fleet Finance Operations @Private Destinations

Role Description

The Senior Business Analyst (Data & Analytics) is responsible for delivering data-driven insights to optimize shipboard finance operations. This role focuses on analytics, reporting, and business intelligence, supporting strategic decision-making across Finance Operations. The role includes partnerships with Financial Analytics, Finance Planning, and Financial Technology teams to develop reporting solutions, interpret data trends, and enhance financial visibility across the fleet.

• Develop Advanced Analytics & BI Solutions: Design, build, and maintain dashboards, reports, and business intelligence tools to enable real-time visibility into financial and operational performance. Implement and utilize AI-enabled analytics features.
• Perform Data Mining & Trend Analysis: Extract, analyze, and interpret large datasets to identify patterns, anomalies, and opportunities for operational and financial improvement.
• Decision Support: Collaborate with Fleet Finance Management and other stakeholders to translate complex data into actionable insights to support leadership in optimizing financial performance, cost efficiency, and operational effectiveness. Train other staff to utilize newly created visual tools.
• Lead KPI Design & Performance Measurement: Design and develop KPIs that measure success across shipboard finance operations, projects, and initiatives. Ensures transparency and visibility into performance drivers, risks, and trends.
• Provide Operational & Analytical Support to Finance Teams: Offer ongoing analytical support and ad-hoc reporting to Fleet Finance Operations to ensure continuity and responsiveness to business needs.

Qualifications

• Bachelor's degree in business informatics, Data Science, Statistics, or other related field of study.
• Minimum of 3+ years of experience in business analysis, FP&A, or data analytics, with understanding of finance and accounting principles.
• Proven ability to perform data mining, modeling, and analysis, translating complex data into actionable insights.
• Experience across the data lifecycle, including sourcing, validation, and visualization, using financial systems and BI tools.
• Knowledge of SQL, OBIEE, EPM, Power BI, AI-enabled queries, and strong understanding of financial and payroll data analysis.
• Strong command of Microsoft Office programs, advanced level of MS Excel.
• Familiarity with other data visualization tools such as Tableau or similar platforms and script development.
• Proficient in Accounting and Information System methodologies, tools, best practices, processes, and controls.
• Amenable to work from 3pm - 12am (PHT).

Company Description