Data Analyst

About the Role

Key Responsibilities

• Lead the design, optimization, and automation of data pipelines and analytics processes using SQL, Python, and BigQuery to support revenue strategy and business planning.
• Develop, implement, and maintain scalable dashboards and reporting tools to support decision-making across Commercial, Operations, and Executive teams.
• Conduct deep-dive analyses on large, complex datasets to identify business insights, performance trends, and opportunities for revenue growth.
• Partner cross-functionally with Sales, Marketing, Loyalty, IT, and Analytics to ensure strategic alignment and integrated data support.
• Build, document, and refine data models, business rules, and performance benchmarks using historical trends and competitive intelligence.
• Prepare and deliver data-driven insights and strategic recommendations to senior leadership in a clear and actionable format.
• Support and lead ad hoc analytical and strategic projects requiring technical depth and business context.

Requirements

• Degree in Data Science, Business Analytics, Economics, Computer Science, or a related field.
• Proven experience in analytical roles involving structured and unstructured data exploration and insight generation.
• Strong hands-on experience with SQL (preferably BigQuery) and Python for data analysis, automation, and statistical modeling.
• Proficient in building dashboards and visualizations using Power BI, Count, or similar tools.
• Strong business acumen with the ability to translate complex data into actionable insights and operational improvements.
• Demonstrated ability to identify data quality issues, validate findings, and build full-cycle analytical solutions.
• Excellent verbal and written communication skills, with experience presenting to executive audiences.
• Demonstrated leadership and mentorship experience, especially in cross-functional or matrixed environments.

Nice to Have

• Experience with data modeling, business rules, and performance benchmarks.
• Knowledge of data science and statistical modeling techniques.
• Experience working in revenue management or dynamic pricing environments.

Qualifications

• Educational background in Data Science, Business Analytics, Economics, Computer Science, or related fields.

Benefits & Perks

• Participation in and financial benefit from our shared employee ownership program.
• Hybrid work environment with a mix of in-office and remote work.
• Career development and growth opportunities.
• Exposure to all areas of the business.
• Great benefits including Medical, Vision, Dental, and a 401k plan.
• Annual discretionary bonus program.
• Team-oriented, fun, and friendly work environment.
• Immediate opportunity to make a large impact.