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Choice Hotels

Franchises hotels and manages accommodations

Analytics and Visualization Manager

Business IntelligenceConfirmed live in the last 24 hours
Full-timeNorth Bethesda, MD, USA$114k - $135kIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience in analytics, data, or a related field is required; an advanced degree is preferred.
  • Five to seven years of progressive experience building Tableau dashboards and analytics data products, including semantic layers, governed metrics, reusable data models, and enterprise-scale reporting infrastructure.
  • Five to seven years of experience writing advanced SQL queries, with deep experience in Redshift or other columnar databases and the ability to design, optimize, and review complex analytical queries in production.
  • Experience architecting and delivering analytics products that support business unit revenue, cost, or performance outcomes.
  • Experience with query tools such as DBVisualizer, DBeaver, or similar, and ability to evaluate and recommend tooling upgrades.
  • Advanced knowledge of data modeling, joins, aggregation logic, performance optimization, and semantic layer design.
  • Experience with Microsoft Office Suite, including Outlook, Excel, and PowerPoint, and ability to create executive-ready deliverables.
  • Experience with Jira, Confluence, or other Atlassian products for project tracking, documentation, and cross-functional coordination in agile delivery environments.
  • Experience using AI-assisted and agentic development tools such as Claude, ChatGPT, GitHub Copilot, OpenAI Codex, or similar to accelerate code development, automate reporting workflows, generate data-driven outputs, and prototype LLM-integrated analytics experiences.
  • Ability to serve as an internal resource for analytics best practices, Tableau governance, and AI-augmented business intelligence, and to translate functional concepts into strategies aligned with company goals.
  • Accountability for accuracy, consistency, and governance across dashboards, semantic layers, AI-generated outputs, and reporting workflows.
  • Ability to independently identify, investigate, and resolve complex data, modeling, and reporting challenges with limited precedent.
  • Ability to manage multiple complex priorities while maintaining data quality, delivery timelines, and strategic alignment across stakeholder groups.
  • Ability to translate complex data concepts into business strategies, influence senior stakeholders, and drive alignment on definitions, methodologies, and analytical outputs.
  • Ability to operate autonomously, own strategic deliverables, and navigate ambiguity in complex cross-functional problem spaces.
  • Ability to influence departmental strategy and drive adoption across business unit and analytics communities without formal authority.

Responsibilities

  • Lead the end-to-end design and delivery of Tableau dashboards that pair advanced visualizations with AI-generated narrative commentary, surfacing key drivers, anomalies, and recommended actions for operational and executive audiences.
  • Serve as the internal authority on Tableau Pulse, Ask Data, and Einstein Discovery integrations, and drive adoption of automated insight surfaces that proactively deliver intelligence to business users.
  • Develop and own a forward-looking roadmap for analytics data products aligned with business unit strategy, recommending approaches and prioritizing investments based on business impact.
  • Collaborate with data scientists to translate model outputs and predictions into clear, actionable visual narratives for decisions across franchise operations, revenue management, and marketing.
  • Define and govern analytics product design standards across the team, ensuring consistency, quality, and alignment with company strategy and governed data definitions.
  • Architect and maintain analytics experiences that enable users across multiple business units to query data using natural language and reduce reliance on ad hoc report requests.
  • Lead prototyping and iterative development of LLM-integrated workflows, including connecting large language models with Redshift data sources to generate performance summaries, anomaly explanations, and strategic narratives.
  • Set the strategic vision for self-service analytics, identifying opportunities to eliminate bottlenecks, improve data literacy, and empower business users to answer their own questions.
  • Evaluate emerging AI and agentic development tools and recommend adoption strategies aligned with enterprise technology standards.
  • Contribute to cross-functional initiatives integrating conversational analytics into enterprise data products and digital experiences.
  • Architect and maintain scalable data sources, flows, and published extracts for traditional dashboards and AI-augmented analytics experiences, ensuring performance, reliability, and governance.
  • Write, optimize, and review complex SQL against AWS Redshift and S3 tables to source, validate, and structure data for dashboards, reporting workflows, and AI-generated outputs while maintaining accuracy, performance, and alignment with governed definitions.
  • Design and deliver data products beyond dashboards, including Python-generated Excel reports, automated workbooks, and lightweight analytical tools connected to governed data sources.
  • Partner with the Data Engineering team on data readiness, platform scalability, and infrastructure alignment for analytics product needs.
  • Establish and enforce data quality standards, semantic layer governance, and documentation practices for consistent use of analytics products.
  • Translate ambiguous and strategically significant business questions from franchise operations, revenue management, marketing, and other stakeholders into analytical frameworks and user-ready data products.
  • Serve as an analytics thought partner and resource for business unit heads and department leaders, advising on data strategy, product capabilities, and interpretation of analytical outputs.
  • Drive adoption and governance of Tableau dashboards and automated reporting workflows by setting usage standards, maintaining documentation, enabling stakeholder communities, and monitoring adoption and data quality metrics.
  • Influence departmental analytics strategies by identifying gaps, promoting best practices, and recommending approaches aligned with business objectives.
  • Lead the development and delivery of analytical narratives for audiences ranging from franchisees to segment executives.
  • Direct analytics workstreams or activities in a matrixed environment, coordinating across data science, engineering, and business teams to support integrated delivery.
  • Engage external vendors, technology partners, and analytics platform providers to evaluate tools, negotiate capabilities, and integrate solutions.

Desired Qualifications

  • An advanced degree.

About the Company

Choice Hotels

Franchises hotels and manages accommodations

Choice Hotels International runs a global hotel franchising business. It works by letting property owners use its brand names in exchange for fees, providing centralized reservation systems, marketing, loyalty programs, and standardized quality guidelines while the owners manage daily operations. Unlike many competitors that own hotels, Choice Hotels grows mainly through franchising and leases, supported by a tiered brand lineup and a long history from a regional referral network to a worldwide platform. Its goal is to expand its franchise network globally while keeping consistent guest experiences and delivering value to guests and franchisees through trusted brands and scalable operations.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Rockville, MD
Founded
1941

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