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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