Marketing Analytics Lead

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

This role offers the opportunity to lead marketing analytics strategy within a fast-growing fintech environment.

You will own the measurement framework that connects marketing investments, customer acquisition, and long-term business growth.

By combining advanced analytics, experimentation, and AI-powered workflows, you will help shape smarter decisions across the customer lifecycle.

You will partner closely with marketing, growth, product, and machine learning teams to improve performance and uncover new opportunities.

The position requires a strategic analytics leader who can transform complex data into actionable insights and measurable business impact.

You will also help build and scale an analytics function focused on innovation, efficiency, and data-driven growth.

Accountabilities

The Marketing Analytics Lead will be responsible for developing a comprehensive analytics strategy that supports customer acquisition, retention, and marketing effectiveness. This role combines hands-on analytical expertise with team leadership, cross-functional collaboration, and ownership of measurement frameworks.

• Own full-funnel marketing analytics initiatives, measuring performance across paid media, acquisition channels, lifecycle marketing, and customer journeys.
• Lead and develop a small, AI-enabled analytics team by leveraging automation tools to improve reporting efficiency and accelerate strategic analysis.
• Define and manage marketing experimentation strategies, including test design, measurement approaches, and translating results into actionable recommendations.
• Partner with machine learning teams to improve attribution models, marketing mix modeling (MMM), multi-touch attribution (MTA), and incrementality measurement frameworks.
• Analyze customer acquisition performance and identify opportunities to improve CAC, LTV, channel efficiency, and overall marketing ROI.
• Build and maintain reporting frameworks, dashboards, and analytical models that support leadership decision-making.
• Collaborate with Growth, Product Marketing, Product, and Analytics teams to align measurement strategies with business objectives.
• Manage relationships with marketing technology vendors and evaluate new platforms, tools, and data sources to enhance analytical capabilities.
• Use AI-driven approaches to streamline analytics workflows and enable the team to focus on higher-value strategic initiatives.

Requirements

The ideal candidate is an experienced marketing analytics leader with strong technical skills, business understanding, and the ability to translate complex data into strategic recommendations. You should have experience leading analytics teams, optimizing marketing performance, and building measurement frameworks in fast-paced environments.

• 10+ years of experience in marketing analytics, growth analytics, performance marketing, or a related data-driven discipline.
• 4+ years of experience managing and developing analytics teams.
• Strong expertise in marketing measurement methodologies, including attribution modeling, incrementality testing, multi-touch attribution, and marketing mix modeling.
• Advanced SQL skills and experience working with large-scale datasets and modern data warehouse environments.
• Proven track record improving customer acquisition cost, lifetime value, and marketing channel performance.
• Experience analyzing paid media performance across multiple channels, including search, paid social, affiliates, and mobile applications.
• Strong experience designing, executing, and interpreting A/B tests and experimentation programs.
• Ability to collaborate effectively across marketing, product, data science, and business teams in a matrixed organization.
• Bachelor’s degree in a quantitative or business-related field such as Finance, Economics, Statistics, Analytics, or a similar discipline; advanced degree preferred.
• Preferred: Experience in fintech, lending, financial services, or other regulated industries.
• Preferred: Experience with CRM and lifecycle marketing analytics, including email, in-app, and push channels.
• Preferred: Familiarity with marketing technology platforms, customer data platforms (CDPs), and vendor evaluation processes.

Benefits

• Competitive annual base salary range of $200,000 - $230,000 USD.
• Equity opportunities through a generous stock option package.
• Remote-friendly work environment available anywhere in the United States.
• Flexible scheduling options with the ability to choose between remote and office-based work.
• Benefits effective from day one.
• 401(k) retirement plan with employer match.
• Flexible time off programs, including vacation, sick leave, paid parental leave, and paid caregiver leave.
• Opportunity to join an early-stage, high-growth fintech organization backed by leading investors.
• Ability to influence analytics strategy, marketing innovation, and business growth at scale.
• Collaborative environment focused on ownership, speed, and impactful execution.

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!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.