Senior Manager, Marketing Analytics & Operations
New
Based in United StatesFull-TimeManager
Salary140,000 - 150,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLSnowflakeA/B testingdbtLooker
Requirements
- 5+ years of experience in marketing analytics, marketing operations, performance measurement, business intelligence, or related analytical functions.
- Minimum 2 years of hands-on experience managing cloud-based data warehouse environments, particularly Snowflake or comparable platforms.
- Strong expertise with dbt and modern data transformation, modeling, and analytics engineering practices.
- Advanced SQL skills with proven experience analyzing large and complex datasets.
- Deep understanding of digital marketing channels, including paid search, paid social, affiliate marketing, attribution modeling, and conversion tracking methodologies.
- Experience integrating data from advertising platforms, CRM systems, analytics tools, and marketing technology ecosystems.
- Knowledge of data governance, measurement frameworks, and marketing attribution best practices.
- Experience building dashboards and reporting solutions using Looker, LookML, or similar business intelligence platforms.
- Strong analytical mindset with the ability to convert data into strategic business recommendations.
- Excellent communication and stakeholder management skills, including the ability to present findings to senior leadership and executive audiences.
- Experience with Python for analytics, automation, or data science applications is highly desirable.
- Previous experience supporting multiple brands, business units, or product portfolios is preferred.
- Background in insurance, financial services, fintech, or other regulated industries is considered a strong advantage.
- Must be physically located within the United States.
Responsibilities
- Design, build, and oversee a centralized marketing analytics ecosystem that supports performance measurement, attribution, forecasting, and growth optimization initiatives.
- Develop and maintain enterprise-level marketing KPIs, including customer acquisition cost, return on ad spend, conversion performance, lifetime value, attribution metrics, and revenue impact.
- Establish governance processes for marketing data collection, tracking accuracy, attribution methodologies, and reporting consistency across paid and owned channels.
- Manage tracking infrastructure, including pixels, tag management systems, server-side tracking implementations, conversion APIs, and offline conversion integrations.
- Create scalable reporting frameworks, dashboards, and self-service analytics solutions that provide actionable insights to marketing teams and business leaders.
- Partner with leadership to develop forecasting models, budget scenarios, performance targets, and strategic recommendations that support growth objectives.
- Lead advanced measurement initiatives such as incrementality testing, geo-testing, lift studies, experimentation frameworks, and A/B testing programs.
- Identify data quality issues and implement solutions that improve data reliability, accessibility, and decision-making confidence.
- Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders.
- Collaborate closely with data engineering, finance, marketing, and executive teams to align reporting standards and performance measurement practices.
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