Staff Marketing Analyst
New
J
JobgetherMarketing Analytics
Based in the United StatesFull-TimeStaff
Salary$164,000–$205,000 USD
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonSQLRData analytics
Requirements
- 8+ years of experience in marketing analytics, growth analytics, performance measurement, or a related analytical field.
- Proven ability to influence marketing strategy and business decisions at a senior stakeholder level.
- Strong understanding of marketing measurement methodologies, including attribution, incrementality analysis, experimentation, and ROI modeling.
- Experience evaluating performance across multiple marketing channels and understanding how channels contribute to overall growth.
- Advanced SQL skills.
- Experience using Python or R for analysis, modeling, experimentation, or automation.
- Strong data quality mindset with experience improving analytics infrastructure, data definitions, and reporting reliability.
- Ability to communicate complex insights clearly and effectively to technical and executive audiences.
- Experience building dashboards, enabling self-service analytics, and improving analytical capabilities across teams.
- Strong business acumen, curiosity, problem-solving skills, and the ability to operate in a complex, regulated environment.
Responsibilities
- Partner with marketing leadership to define budget allocation strategies, channel performance insights, and long-term growth opportunities.
- Own end-to-end marketing performance analytics across acquisition, lifecycle, direct mail, partnership, and paid channels.
- Develop and enhance advanced measurement approaches, including marketing mix modeling (MMM), multi-touch attribution (MTA), incrementality testing, funnel analysis, and ROI evaluation.
- Build and maintain dashboards, KPIs, and reporting frameworks that provide a trusted source of truth for marketing performance and efficiency.
- Improve marketing data foundations by collaborating with analytics engineering teams on data models, pipelines, definitions, and reliability standards.
- Translate complex analytical findings into clear recommendations for executives and cross-functional stakeholders.
- Establish best practices for experimentation, documentation, data storytelling, and self-service analytics across marketing teams.
- Support the continuous improvement of marketing analytics capabilities through mentorship, enablement, and strategic guidance.
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