Gourmet Marketing is a strategic hospitality marketing agency that partners with the world’s most distinctive hotels, restaurants, and lifestyle brands to transform digital marketing into a measurable growth engine.

We combine deep industry expertise with advanced analytics and AI-driven insight to connect hospitality brands with travelers at every stage of their journey—from discovery to direct booking.

Our work spans SEO, paid media, content strategy, and conversion optimization, all built on a single principle: make marketing accountable to revenue.

With a proven record of elevating boutique and multi-property hotels alike, Gourmet Marketing continues to redefine what performance means in hospitality marketing.

You will be responsible for designing and maintaining analytics data models, building reliable reporting and data pipelines, and translating complex, multi-source datasets into clear, actionable insights for internal teams and client stakeholders. The role is well-suited to a mid-to-senior-level professional who is comfortable owning analytics workflows end to end—from data ingestion through to insight communication.

You will work closely with marketing strategists, and leadership to uncover opportunities, optimize performance, and support strategic initiatives across our global hotel and restaurant client base.

As an agency, we are working simultaneously on many accounts – so prioritization, multi-tasking, and a structured approach to processes cannot be something you are afraid of.

• Design, build, and maintain scalable analytics data models and reporting layers to support marketing and business intelligence use cases

• Develop and maintain automated reporting, dashboards, and performance monitoring systems for internal teams and client-facing deliverables

• Query, transform, and analyze large datasets using SQL across multiple data sources, including paid media, web analytics, CRM, and hospitality platforms

• Build and manage data pipelines and integrations using APIs (e.g. Google Ads, Meta, GA4, OTAs, PMS systems) and scripting tools such as Python or JavaScript

• Ensure data accuracy, consistency, and reliability through validation, documentation, and ongoing monitoring

• Partner with cross-functional teams to define measurement frameworks, KPIs, attribution approaches, and experimentation strategies

• Translate complex analytical findings into clear, actionable insights for non-technical stakeholders, including senior leadership and clients

• Support advanced analytics initiatives, including predictive modeling, attribution analysis, and AI-assisted insight generation where applicable

• Continuously improve analytics infrastructure, workflows, and tooling to increase efficiency and analytical depth

• 4+ years of experience in a data analytics, analytics engineering, or data-focused role

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field — or equivalent practical experience.

• Strong proficiency in SQL, with experience querying and transforming complex datasets at scale
• Hands-on experience with data visualization and BI tools such as Google Looker Studio, Tableau, or Power BI, including building client-facing dashboards.
• Solid understanding of statistics, data modeling, and analytical best practices, with the ability to explain results clearly to non-technical audiences
• Experience working with digital marketing data ecosystems, including paid media platforms (Google Ads, Meta), web analytics (GA4), and CRM or PMS data
• Strong written and verbal communication skills, with confidence presenting insights to stakeholders and clients
• Comfortable working in a fast-paced, remote, and globally distributed team environment
• Hospitality industry experience is a plus, but not required

• Analytics Engineering & Data Modeling: Building robust analytics layers, metric definitions, and reporting structures that support consistent, scalable analysis

• SQL & Data Transformation: Advanced SQL for data extraction, segmentation, and transformation across large, multi-source datasets

• API Connectivity & Integration: Experience integrating third-party APIs (e.g. Google Ads, Meta, GA4, hospitality platforms), including authentication, RESTful calls, and pipeline construction
• Marketing & Performance Analytics: Deep familiarity with marketing KPIs, performance measurement, attribution concepts, and experimentation frameworks
• GTM & Measurement Engineering: Working knowledge of Google Tag Manager architecture, dataLayer implementation, event tracking, and conversion validation
• Development & Automation: Proficiency with Python or JavaScript for data manipulation, automation, and analytics tooling; familiarity with Git and cloud environments such as BigQuery or Google Cloud
• AI-Assisted Analytics: Exposure to applying AI/ML techniques to analytics workflows, including predictive analytics, automated insight generation, and the use of LLM-based tools (e.g. OpenAI, Claude, Gemini APIs)

Base Salary: USD $2,500 – $5,000 per month, depending on experience and performance.

Employment Type: Independent Contractor (Full-time, long-term). The candidate will be responsible for managing and remitting all applicable local taxes, insurance, and statutory obligations in their country of residence.