Analytics Manager (Hybrid Opportunity)

Leadership & Team Development 

• Manage, mentor, and grow team of business intelligence analysts, fostering a culture of continuous learning, collaboration, and analytical excellence. 

• Set clear goals, provide regular feedback, and champion professional development in service of driving business impact. 

Analytics Strategy & Roadmap 

• Lead the design and execution of a comprehensive analytics roadmap that aligns with company goals and supports revenue growth and operational efficiency. 

• Identify key business questions and prioritize initiatives that maximize impact across sales, marketing, product, and operations. 

• Oversee strategic analytics projects from scope definition to delivery, ensuring alignment with stakeholder objectives, timelines, and measurable outcomes. 

Data-Driven Insights & Storytelling 

• Conduct analyses to identify key performance drivers, diagnose trends, and surface actionable insights. 

• Deliver compelling data visualizations, reports, and executive presentations that clearly communicate findings and recommendations. 

• Continuously enhance reporting processes and visualization frameworks to improve storytelling, accessibility, and business decision-making. 

What You’ll Bring 

Experience & Background 

• Bachelor’s degree in a quantitative, business, or related discipline (e.g., Statistics, Economics, Business Administration, Marketing Analytics, Finance). 

• 5+ years of experience in analytics, data strategy, or business intelligence, including 2+ years in a leadership role managing analysts or BI professionals. 

• Experience in hospitality, travel, or service industries strongly preferred. 

• Proven ability to interpret industry performance metrics and economic indicators, including demographics, revenue management, and competitive benchmarking data. 

Technical Expertise 

• Advanced proficiency in SQL for data extraction and manipulation. 

• Expertise in data visualization tools such as Tableau or Power BI. 

• Advanced Excel modeling and quantitative analysis skills. 

• Familiarity with programming languages such as Python or R  

• Understanding of statistical modeling, data architecture, and best practices for handling large or complex datasets. 

Core Competencies 

• Analytical Thinking: Ability to translate complex data into actionable insights and strategic recommendations. 

• Strategic Mindset: Connects analytics initiatives to organizational goals and revenue outcomes. 

• Communication & Storytelling: Skilled in presenting complex analyses in a clear, compelling, and influential manner. 

• Collaboration: Builds strong partnerships across functions and manages stakeholder expectations effectively. 

• Adaptability: Thrives in a dynamic, fast-paced environment with shifting priorities. 

• Attention to Detail: Ensures accuracy, consistency, and integrity in all analytical outputs