Senior Manager, Marketing Analytics & Operations [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Marketing Analytics & Operations based in United States.

This is an outstanding opportunity for a data-driven marketing leader to build and scale a centralized analytics function within a rapidly evolving technology-focused organization. The role combines strategic leadership, technical expertise, and cross-functional collaboration to create the data infrastructure that powers marketing performance and business growth. You will play a pivotal role in establishing reporting frameworks, attribution models, forecasting methodologies, and measurement standards across multiple business lines. Working closely with marketing, analytics, engineering, finance, and executive stakeholders, you will transform complex data into actionable insights that drive investment decisions and optimize performance. This highly visible position offers the opportunity to influence strategic outcomes while shaping the future of a modern, data-centric marketing organization.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.