Director, Geospatial Analytics and Data Science

Planet Fitness•Boston, MA

17h•$200,000 - $240,000•Hybrid

About The Position

Reporting to the Vice President, Enterprise Analytics, the Director, Geospatial Analytics & Data Science serves as the primary analytics partner responsible for proposing, designing, and building enterprise-wide geospatial and location intelligence solutions and insights that optimize domestic and international market growth and existing and new club performance. Leading a team of Geospatial Analysts and Data Scientists, this role delivers descriptive, diagnostic, predictive, and prescriptive geospatial analytics solutions that enable leaders to make informed, data-driven decisions regarding new market expansion, site selection, market planning, M&A target footprint diagnostics, and network optimization. Working cross-functionally with Real Estate, Strategy, Development, Marketing, Finance, and Operations, the Director develops scalable, productized geospatial solutions embedded as fundamental elements of overall business strategy and enterprise-wide decision making. The Director plays a critical role in advancing Planet Fitness' analytics maturity by replacing fragmented analyses with standardized geospatial analytics solutions built with modern data science methodologies. The ideal candidate combines strong business acumen, expertise in geospatial analytics and data science, passion for building, deploying, and supporting productized analytics solutions, stakeholder management skills, and a proven track record of partnering with senior leaders to drive measurable business impact. This role follows a hybrid schedule and requires regular, in-person work at our Boston, MA or Hampton, NH office. Our hybrid model is M/T/W in office and TH/F are optional work-from-home. Candidates must reside within commuting distance of one of these locations. Fully remote work is not available for this role.

Requirements

Masters degree in Geography, GIS, Analytics, Data Science, Statistics, Economics, Computer Science, Mathematics, Urban Planning, Engineering, or a related quantitative field
8+ years of progressive experience in geospatial analytics, GIS, location intelligence, business analytics, data science, market planning, or related analytical disciplines
5+ years of experience leading analytics teams while partnering with senior business leaders to influence strategic decision-making
Demonstrated success building scalable geospatial analytics products, predictive models, and decision-support capabilities that drive measurable business outcomes
Experience applying geospatial analytics to site selection, trade area analysis, market planning, territory optimization, white space analysis, portfolio optimization, or competitive intelligence
Strong understanding of statistical analysis, predictive modeling, machine learning, forecasting, and spatial analytics methodologies
Experience developing executive dashboards, scorecards, interactive mapping solutions, KPI frameworks, and self-service reporting capabilities
Expertise with GIS and analytics technologies such as Esri ArcGIS, Alteryx, SQL, Python, Snowflake, Power BI, Tableau, or similar platforms
Ability to synthesize large, complex geographic and business datasets into clear, actionable insights that support strategic decision-making
Extremely detail-oriented, efficient, and organized with an exceptional ability to establish priorities and objectives and manage multiple projects simultaneously
Exceptional presentation and communication skills along with the ability to communicate effectively across all levels of the organization, including executives
Able to establish and maintain effective, collaborative work relationships with diverse individuals, internally and externally
Creative, progressive, thought leadership with the ability to influence at all levels of the organization
Excellent leadership and people management skills including the ability to build, motivate, guide, and mentor teams to achieve ambitious goals
Possess a results-driven entrepreneurial mindset, demonstrating initiative and creativity
Demonstrated strategic thinking, creative problem-solving, and organizational leadership skills
Exhibits comfort, ease, and flexibility working in an extremely fast-paced ever-changing, deadline-driven environment
Cooperative team player with an upbeat, positive, “can-do” attitude!

Responsibilities

Serves as the primary geospatial analytics and data science partner to Real Estate, Development, Strategy, Operations, and executive leadership.
Develops and executes the geospatial analytics roadmap aligned with enterprise growth priorities and business objectives.
Leads the development of scalable analytics products, predictive models, and location intelligence solutions supporting site selection, market planning, and portfolio optimization.
Identifies emerging market trends and champions innovative analytics methodologies that improve business performance and strategic decision-making.
Proposes, designs, develops, scales, and supports predictive models and geospatial analyses supporting site selection, trade area optimization, market prioritization, white space analysis, cannibalization, and portfolio planning.
Applies GIS, statistical modeling, forecasting, and data science methodologies to evaluate market opportunities and optimize growth strategies.
Continuously improves geospatial analytics capabilities through enhanced reporting, predictive models, AI-enabled tools, and location intelligence technologies.
Translates demographic, competitive, member, operational, and financial data into actionable insights that improve market expansion and business performance.
Establishes enterprise KPIs, executive dashboards, scorecards, mapping solutions, and self-service reporting capabilities supporting market planning and portfolio performance.
Standardizes geospatial methodologies, data definitions, and reporting processes while replacing manual analyses with scalable enterprise analytics products.
Promotes adoption of geospatial analytics tools and reporting capabilities across business stakeholders.
Collaborates with Strategy, Real Estate, Development, Finance, Marketing, and Operations to align market planning and business priorities.
Supports enterprise initiatives through advanced analytics, business case development, financial modeling, scenario analysis, and performance measurement.
Presents analytical findings and strategic recommendations to senior leadership in a clear, concise, and actionable manner.
Leads, coaches, and develops a team of Geospatial Analysts and Data Scientists, fostering technical excellence, innovation, and business partnership.
Establishes priorities, provides guidance on analytical methodologies, predictive modeling, GIS technologies, and executive communication.
Partners with Enterprise Analytics leadership to advance analytics capabilities, processes, and organizational standards.