Marketing Analytics Lead

About LandSeed

LandSeed is a non-profit committed to reimagining entry-level housing for future generations. Our goal is to create inclusive communities where homeownership is accessible for all, and everyone has the opportunity to build a stable, fulfilling future. At LandSeed, we create solutions for the Canadian housing crisis by collaborating with communities and industry partners to identify barriers and create real pathways to homeownership.

How Will This Opportunity Benefit You

This role offers an exciting opportunity to apply your data expertise to real-world, mission-driven marketing challenges. As the Marketing Analytics Lead, you will deepen your experience with performance measurement, dashboarding, attribution, and strategic decision-making. You'll have the chance to collaborate with cross-functional teams, strengthen your leadership and communication skills, and influence impactful campaigns that serve diverse communities.

How Will LandSeed Benefit from Your Contribution

Your insights and analytical capabilities will play a key role in shaping LandSeed’s outreach and engagement strategies. By transforming marketing data into actionable recommendations, you’ll help us allocate resources more effectively, maximize ROI, and understand our audiences better. Your contributions will directly support our mission of building accessible, community-centered pathways to homeownership.

Description of the Role

The Marketing Analytics Lead will oversee the collection, analysis, and reporting of marketing data across all channels and campaigns. This includes building dashboards, refining attribution models, and delivering insights that enhance campaign performance and strategic planning. The ideal candidate is highly analytical, detail-oriented, and experienced in marketing analytics, data visualization, and stakeholder communication.

Duties and Responsibilities

• Lead marketing data analysis and performance reporting across all digital channels
• Develop and maintain dashboards and KPI tracking systems
• Provide data-driven insights and strategic recommendations to optimize marketing outcomes
• Manage marketing attribution models and ROI calculations
• Collaborate with marketing, product, and operations teams to define key metrics and improve data infrastructure
• Present findings and narratives to leadership and other stakeholders in clear, actionable formats
• Ensure data accuracy, completeness, and consistency across platforms

Required Experience/Skills

• 3–5 years of experience in marketing analytics, digital analytics, or data analysis roles
• Bachelor's degree in Marketing, Statistics, Data Science, Business, or related field
• Advanced proficiency in Google Analytics (GA4), Google Tag Manager, and Google Data Studio
• Strong command of SQL, Excel/Google Sheets (including pivot tables and advanced formulas)
• Familiarity with marketing automation platforms (HubSpot, Pardot, Marketo)
• Experience with marketing attribution models and customer journey analysis
• Clear and effective communicator who can explain technical insights to non-technical audiences

Preferred Qualifications

• Google Analytics Certification (GA4 and/or Universal Analytics)
• Proficiency in data visualization tools like Tableau, Power BI, or Looker Studio
• Knowledge of A/B testing, statistical analysis, and experimental design
• Familiarity with CRM platforms like Salesforce
• Exposure to marketing mix modeling or econometrics is a plus

Tools & Platforms You’ll Use

• Analytics: Google Analytics (GA4), Google Tag Manager
• Visualization & Reporting: Google Data Studio, Tableau, Power BI, Looker Studio
• Marketing Platforms: HubSpot, Marketo, Pardot
• CRM & Data Systems: Salesforce, SQL databases, data warehouses
• Spreadsheet Tools: Excel, Google Sheets

Key Traits & Soft Skills

• Analytical thinker with a strategic mindset
• Detail-oriented and highly accurate in data work
• Strong visual and verbal storytelling capabilities
• Curious, proactive, and eager to solve complex problems
• Able to work both independently and collaboratively
• Adaptable to fast-paced, mission-driven environments