Senior Manager, Marketing Analytics & Operations

Accountabilities

• 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.

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.

Benefits

• Competitive base salary ranging from $140,000 to $150,000 annually, based on experience and qualifications.

• Performance-based bonus opportunity of up to 15% of base salary.

• Comprehensive health and wellness benefits package.

• Fully remote work environment offering flexibility and work-life balance.

• Opportunity to build and lead a critical marketing analytics function with enterprise-wide visibility and impact.

• Direct exposure to executive leadership and strategic business initiatives.

• Professional development opportunities within a fast-growing, technology-driven organization.

• Collaborative culture that encourages innovation, continuous learning, and data-driven decision-making.

• Opportunity to work with modern analytics technologies, cloud data platforms, and advanced marketing measurement frameworks.

• Long-term career growth potential in a rapidly transforming business environment.

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