Senior Manager, Marketing Analytics – Operations

Talencore

Senior manager overseeing marketing analytics and establishing data processes for insurtech firm. Leading initiatives on performance marketing and growth optimization across multiple business lines.

Posted 6/11/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $140,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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Hard Skills & Tools

marketing analyticsperformance measurementcloud data warehouseSnowflakedbtSQLPythonLookerLookMLdata modeling

Soft Skills

communicationcollaborationleadershipanalytical thinkingproblem-solving