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Attitude determines altitude.
Senior Manager, Marketing Analytics – Operations
Location
United States
Posted
38 days ago
Salary
$140K - $150K / year
Seniority
Senior
Job Description
Senior Manager, Marketing Analytics – Operations
Talencore
• Design, build, and manage a centralized marketing data ecosystem leveraging Snowflake, dbt, data ingestion tools, and BI platforms. • Develop and maintain enterprise-wide marketing KPIs, including customer acquisition cost, ROAS, conversion metrics, lifetime value, attribution models, and revenue performance metrics. • Ensure accurate tracking and attribution across paid and owned channels through governance of pixels, server-side tracking, conversion APIs, tag management, and offline conversion integrations. • Build reporting frameworks and self-service dashboards that allow marketing teams to monitor performance in near real-time. • Partner with marketing leadership to develop forecasting models, performance targets, budget scenarios, and investment recommendations. • Lead measurement initiatives including incrementality testing, lift studies, geo-testing, and A/B testing programs. • Identify data quality issues and establish governance processes to improve reporting consistency and reliability. • Translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders. • Collaborate with data engineering, finance, and marketing teams to align reporting standards and performance measurement methodologies.
Job Requirements
- 5+ years of marketing analytics, marketing operations, or performance measurement experience.
- 2+ years of hands-on ownership of a cloud data warehouse environment such as Snowflake.
- Strong experience with dbt and modern data modeling practices.
- Deep understanding of paid search, paid social, affiliate marketing, attribution, and conversion tracking.
- Experience integrating data from advertising platforms, analytics tools, CRM systems, and other marketing technologies.
- Advanced SQL skills required.
- Experience with Python for analytics is highly desirable.
- Experience with Looker, LookML, or similar BI platforms strongly preferred.
- Ability to communicate analytical concepts to executive stakeholders.
- Experience working across multiple brands, business units, or product lines preferred.
- Insurance, financial services, fintech, or other highly regulated industries are advantageous.
Benefits
- full benefits
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