Senior/Lead Data Analyst - Marketing

Accountabilities

• Drive marketing analytics initiatives by delivering actionable insights that improve campaign performance, user acquisition, and overall marketing efficiency.

• Support business integration and M&A projects by assessing marketing data ecosystems, consolidating reporting structures, aligning KPIs, and ensuring smooth data integration across organizations.

• Design, develop, and maintain scalable data models, ELT pipelines, and marketing datasets within modern cloud data platforms.

• Build intuitive dashboards and reporting solutions that provide clear visibility into marketing performance and business outcomes.

• Partner closely with marketing, product, engineering, and analytics teams to translate business challenges into scalable analytical solutions and actionable recommendations.

• Lead cross-functional analytics projects from planning through delivery, managing stakeholder communication, timelines, and project risks.

• Utilize AI tools and automation to improve data preparation, analysis, reporting, and insight generation while continuously enhancing analytical workflows.

Requirements

• 5+ years of experience in marketing analytics, preferably within digital businesses, online marketplaces, or other data-driven environments.

• Proven experience supporting complex data integration, organizational transformation, or mergers and acquisitions involving KPI alignment, reporting consolidation, and stakeholder collaboration.

• Strong SQL expertise and hands-on experience building ELT pipelines using tools such as Airflow, dbt, or similar technologies.

• Experience working with cloud-based data platforms including BigQuery, Snowflake, Redshift, or equivalent solutions.

• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, Amazon QuickSight, or similar platforms.

• Solid understanding of Google Analytics, mobile measurement platforms, digital advertising ecosystems, and marketing attribution.

• Demonstrated ability to lead cross-functional analytics initiatives and communicate effectively with technical and business stakeholders.

• Interest in applying AI tools to enhance analytics workflows and improve the quality and efficiency of data-driven decision-making.

• Excellent written and verbal English communication skills.

• Availability to collaborate with international teams during Toronto (EST/EDT) working hours.

• Experience with attribution models, Google Search Console, Google Tag Manager, Amazon QuickSight, or mobile measurement platforms is considered an advantage.

Benefits

• Fully remote work environment.

• Opportunity to work on large-scale, high-impact marketing analytics projects.

• International collaboration with cross-functional and distributed teams.

• Exposure to modern cloud data platforms, AI-powered analytics, and advanced marketing technologies.

• Career growth opportunities through leadership responsibilities and strategic initiatives.

• Dynamic, collaborative environment focused on innovation, continuous learning, and data-driven decision-making.

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