Senior Manager, Marketing Technology & Analytics
New
Full-time permanent remote position for candidates located in the United States.Full-TimeManager
Salary$140,000–$150,000 plus performance bonus opportunities
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLSnowflakeCRMdbtLooker
Requirements
- 5+ years of experience in marketing analytics, marketing operations, performance measurement, or related fields.
- Proven experience owning and managing cloud data warehouse environments such as Snowflake.
- Strong hands-on experience with dbt and modern data modeling practices.
- Advanced SQL skills with the ability to analyze complex datasets and build reliable reporting solutions.
- Deep understanding of paid search, paid social, affiliate marketing, attribution strategies, and conversion tracking methodologies.
- Experience integrating data from advertising platforms, analytics tools, CRM systems, and marketing technology platforms.
- Experience using Python for analytics is highly desirable.
- Familiarity with BI platforms such as Looker, LookML, or similar reporting tools is preferred.
- Ability to communicate analytical concepts clearly to executive stakeholders and non-technical audiences.
- Experience supporting multiple brands, business units, or product lines is a plus.
- Background in insurance, financial services, fintech, or other regulated industries is advantageous.
Responsibilities
- Design, build, and manage a centralized marketing data ecosystem using cloud data warehouse technologies, data modeling tools, ingestion platforms, and business intelligence solutions.
- Develop and maintain enterprise marketing KPIs, including customer acquisition cost, return on ad spend (ROAS), conversion metrics, lifetime value, attribution models, and revenue performance indicators.
- Ensure accurate tracking and measurement across paid and owned marketing channels through governance of pixels, server-side tracking, conversion APIs, tag management, and offline conversion integrations.
- Create reporting frameworks and self-service dashboards that enable marketing teams to monitor performance and make data-driven decisions.
- Partner with marketing leadership to develop forecasts, performance targets, budget scenarios, and investment recommendations.
- Lead measurement initiatives such as incrementality testing, lift studies, geographic testing, and A/B experimentation programs.
- Identify data quality challenges and establish governance processes to improve reporting accuracy, consistency, and reliability.
- Translate complex analytical insights into clear recommendations for both technical teams and executive stakeholders.
- Collaborate with data engineering, finance, and marketing teams to align reporting standards and performance measurement strategies.
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