Senior Financial Analyst

Resorts World NYC • Jamaica, NY

15d

About The Position

In this role we are seeking a sharp, business-savvy Senior Analyst to help turn data into insights that drive strategic decisions. In this role, you'll work closely with teams across the organization to identify trends, uncover opportunities, and provide actionable insights to key stakeholders through thoughtful analysis with a combination of strong technical skills (SQL & Python) and deep business understanding.

Requirements

• Bachelor’s degree in business, Finance, Economics, Data Analytics, Data Science, or related field.
• 3–5+ years of experience in analytics, business intelligence, or related fields.
• Advanced proficiency in SQL for querying large, complex datasets.
• Strong experience in Python for data manipulation, analysis, and automation (e.g., pandas, NumPy, seaborn, matplotlib).
• Solid understanding of business operations, KPIs, and financial concepts — able to connect analysis to strategy.
• Ability to translate analytical findings into business recommendations clearly and effectively.
• Experience with BI/visualization tools such as Power BI, Tableau, Looker, or Mode
• Comfort working cross-functionally with product, marketing, operations, and finance teams.

Nice To Haves

• Experience with A/B testing or experimentation frameworks
• Basic understanding of forecasting models or predictive analytics (e.g., time series, regression)

Responsibilities

• Analyze complex datasets using SQL, Python, BI tools, or Excel to generate actionable insights across departments (e.g. Marketing, Finance, Food & Beverage, Hotel, Gaming, operations).
• Build and maintain dashboards, models, and reports that support decision-making.
• Collaborate with business stakeholders to scope problems, define metrics, and translate questions into structured analyses.
• Communicate findings through compelling visualizations, presentations, and concise narratives. The ability to effectively communicate more complex statistical concepts in a digestible manner for key stakeholders.
• Support and collaborate with Data Engineering on where impactful datasets are, how they should be structured to answer numerous business problems, and how we can streamline processes to get insights to key stakeholders.
• Contribute to a data-driven culture by mentoring junior analysts and helping improve analytical best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level