Head of Product Analytics

Hostaway

. Own how Hostaway chooses what to build and prove what product changes deliver .

Posted 10/2/2026full-timeRemote • ArmeniaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product analytics with a strong focus on data modeling, measurement standards, and evidence-based decision-making. Proficient in SQL querying and building analytics frameworks to support product development in a B2B SaaS environment.

Highest-signal resume keywords

Product AnalyticsSQL QueryingData ModelingEvent TrackingAI Tools Understanding

ATS Keywords

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Hard Skills

Product Measurement StandardsA/B Testing DesignData Quality StandardsBusiness Model DevelopmentChurn ModelingAutomated WorkflowsAPI Usage MeasurementAnalytics Operating ModelsQuantitative AnalysisSQLMesh

Soft Skills

MentoringInfluencing Senior LeadersCommunication of Analytical Limitations

Tools & Technologies

Data EngineeringAnalytics Function BuildingData ModelsData PipelinesData Warehouse Architecture

Industry Keywords

B2B SaaSProduct-Led GrowthMulti-User-Type PlatformsTravel TechnologyHospitality TechnologyProperty Technology

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own how Hostaway chooses what to build and prove what product changes deliver
Set product measurement standards, including definitions of active and adopting customers and analysis segmentation
Embed measurement in product planning, including sizing, expected metric impact and measurement plans in product requirements documents
Design measurement approaches where clean A/B tests are unavailable
Define measurement for AI-native products where activity metrics do not tell the full story
Bring quantitative evidence to product investment decisions
Improve metrics fluency so product managers can bring their own numbers to reviews
Set technical standards for tracking plans, instrumentation specifications and data quality
Build the product analytics function, starting with an experienced product analyst
Write SQL queries and build analyses hands-on
Mentor other analysts
Partner with Data Engineering on data models, pipelines, warehouse and architecture
Maintain a dotted-line partnership with the CTO
Report directly to the Chief Product Officer

Requirements

What you’ll need

8+ years in product analytics, ideally in B2B SaaS at a scaling stage
Strong data foundations and ability to design reliable data models with Data Engineering
Experience setting up consistent event tracking across features and domains
Experience with SQLMesh is a plus
Heavy use of AI tools and understanding of where they help and mislead
Experience influencing senior leaders with evidence-based analysis
Experience helping companies move from gut-feel to data-led decisions
Experience building analytics operating models from the ground up
Ability to build business models that withstand finance-leader scrutiny
Ability to design fair comparisons in complex B2B products and communicate analytical limitations honestly
Hands-on SQL querying and analysis-building experience
Must be located within the EMEA region
Nice to have: experience measuring AI features, automated workflows or API usage; product-led growth; churn modeling; multi-user-type platform businesses; travel, hospitality or property technology

Benefits

Comp & perks

Competitive pay based on market rates in the country of the applicant
Valuable stock options
Professional growth, learning and development opportunities
Career advancement opportunities
Annual paid leave aligned with country and/or contract-specific norms
Country-specific benefits such as health insurance and pensions where customary
Flexible work location within the applicant’s country of residence
Global, diverse, international team culture