Senior/Lead Data Analyst - Marketing

J
JobgetherMarketing Analytics
Germany, Toronto (EST/EDT) working hoursFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
5+ years
Required Skills
SQLMicrosoft Power BISnowflakeGoogle AnalyticsTableauAirflowBigQuerydbtRedshift

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.

Responsibilities

  • 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.
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