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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