Senior Marketing Data Analyst

G AdventuresToronto, ON

About The Position

G Adventures is a leading small group travel company that believes travel changes people. For 35 years, they have focused on unique, authentic travel experiences without cookie-cutter tours or large groups. The company culture is built on belonging, encouraging employees to bring their authentic selves to work. They offer opportunities for career growth and development within a passionate and talented team. This role is an opportunity to join a company that values diversity, inclusion, and making a positive impact through exploration.

Requirements

  • Bachelor's degree in Marketing, Business, Analytics or equivalent experience.
  • 4+ years of professional experience in a data-focused marketing analytics role.
  • Thorough practical experience of marketing and digital data across all types of online and offline media channels.
  • Strong analytical and diagnostic skills with statistical rigor and the ability to craft actionable recommendations.
  • Must have hands-on experience with digital analytics and ecommerce platforms and data (Google Analytics, Google Ads, Meta, Heap, etc.) with experience in digital tagging and data fundamentals.
  • Experience with Looker or other business intelligence software.
  • Experienced writing SQL queries and an understanding of relational databases.
  • Excellent communication and presentation skills with the ability to articulate complex data insights and findings driving alignment on data-driven decisions.
  • Demonstrates the ability to collaboratively work with stakeholders from various functional teams and seniority levels, from Marketing Coordinators to the VP or President.
  • Must be curious, detail-oriented, and have strong organizational and documentation skills.

Responsibilities

  • Own global marketing data analysis, delivering actionable insights and recommendations to inform strategic decision-making.
  • Partner closely with the Vice President, Global Marketing & E-Commerce to translate data into clear, impactful business strategies.
  • Conduct ad-hoc analyses to address specific business questions and support decision-making across the organization.
  • Proactively identify trends, opportunities, and efficiencies by leveraging multiple data sources.
  • Lead end-to-end campaign performance analysis, translating findings into data-driven recommendations for optimization and growth.
  • Evaluate marketing effectiveness and continuously refine strategies to improve ROI and conversion.
  • Develop and enhance customer segmentation models using behavioral and transactional data.
  • Provide recommendations on advanced data modeling approaches (e.g., attribution modeling, marketing mix modeling) in collaboration with senior analytics stakeholders.
  • Establish and enforce marketing data governance standards, including tagging frameworks (e.g., UTM parameters, platform tagging) to ensure accurate attribution and reporting.
  • Provide technical guidance to marketing teams on proper tracking implementation and best practices.
  • Plan and conduct regular data audits to ensure accuracy, consistency, and readiness for data warehouse integration.
  • Design and deliver dashboards and reports in BI tools (e.g., Looker) to provide clear visibility into campaign performance and key KPIs.
  • Translate complex datasets into intuitive, actionable insights for stakeholders.
  • Write SQL queries to support deep-dive analyses and data exploration.
  • Support enhancements to the Looker data model to improve reporting accuracy and usability.
  • Identify and implement opportunities to improve data collection, reporting processes, and workflow efficiency.
  • Evaluate and integrate new tools, technologies, and data sources to enhance marketing analytics capabilities.

Benefits

  • Competitive Total Rewards Package, including exclusive travel perks!
  • Additional days off, including on your birthday!
  • Vacation time for you to recharge
  • Enhanced Parental Leave
  • Meaningful Employee Recognition Program
  • Learning and Growth Opportunities
  • Employee Resource Groups
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