Senior Analyst, Marketing Analytics
New
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3–5 years
- Required Skills
- SQLBusiness IntelligenceTableauA/B testingdbtGitHub
Requirements
- 3–5 years of experience in marketing analytics, media analytics, business intelligence, or a related field, ideally within a direct-to-consumer environment.
- Strong expertise in SQL with the ability to independently write, optimize, and troubleshoot complex queries.
- Experience working with data transformation and analytics tools such as dbt, GitHub, Sigma, Tableau, or similar business intelligence platforms.
- Solid understanding of paid media performance metrics, including CPC, CPA, CAC, and ROAS.
- Hands-on experience with marketing technology and measurement systems, including pixel implementation, conversion tracking, and tag management platforms.
- Knowledge of attribution methodologies, experimentation frameworks, incrementality analysis, or media mix modeling is highly valued.
- Strong analytical mindset with the ability to uncover meaningful insights from large datasets and communicate findings effectively.
- Self-motivated, proactive, and comfortable managing projects independently in a remote work environment.
- Familiarity with AI-powered analytics tools and a willingness to incorporate emerging technologies into daily workflows.
Responsibilities
- Build, maintain, and optimize performance dashboards that provide clear visibility into paid media performance across channels such as SEM, Paid Social, Display, and Connected TV.
- Develop, update, and manage SQL queries, data models, and reporting infrastructure to ensure accurate, scalable, and reliable analytics.
- Configure, monitor, and troubleshoot marketing technology systems, including conversion tracking, tag management, and data integrations.
- Conduct ongoing performance analysis, identify trends and anomalies, perform root-cause investigations, and deliver actionable recommendations to improve campaign outcomes.
- Support the design, execution, and analysis of marketing experiments, including A/B testing and geo-based testing initiatives.
- Contribute to attribution, incrementality measurement, forecasting models, and emerging channel evaluation to strengthen marketing decision-making.
- Partner with marketing stakeholders to translate complex data into clear insights that drive growth and operational efficiency.
- Utilize AI-powered tools to accelerate analytics workflows, improve reporting processes, and enhance insight generation.
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