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