Marketing Analytics Lead

About the role

This Role Is Responsible For Own full-funnel marketing analytics from paid media through lifecycle journeys partnering directly with Analytics/ML, Growth and Product Marketing leadership.
Lead and scale a small, AI-augmented analytics team using AI tools to automate reporting, accelerate ad-hoc analysis, and free the team for higher-value experimentation and strategy work.
Run our marketing test-and-learn agenda translating results into clear insights and recommendations to grow the business.
Partner with the Machine Learning (ML) team to evolve our MTA, MMM and incrementality frameworks to measure performance and brand impact.
Manage data/martech vendor relationships and evaluate new tools and data sources to continue to level up our product.

Responsibilities

• Own full-funnel marketing analytics from paid media through lifecycle journeys partnering directly with Analytics/ML, Growth and Product Marketing leadership.
• Lead and scale a small, AI-augmented analytics team using AI tools to automate reporting, accelerate ad-hoc analysis, and free the team for higher-value experimentation and strategy work.
• Run our marketing test-and-learn agenda translating results into clear insights and recommendations to grow the business.
• Partner with the Machine Learning (ML) team to evolve our MTA, MMM and incrementality frameworks to measure performance and brand impact.
• Manage data/martech vendor relationships and evaluate new tools and data sources to continue to level up our product.

Requirements

• 10+ years in marketing analytics, growth analytics, or performance marketing.
• 4+ years of people leadership experience.
• Attribution modeling and marketing measurement (incrementality, MMM, or multi-touch attribution).
• Strong SQL; experience with large datasets and modern data warehouses.
• Track record improving CAC, LTV, and channel efficiency.
• Paid media analytics across multiple channels (SEM, Paid Social, Affiliates, App).
• Experiment design and interpretation (A/B testing).
• Cross-functional collaboration in a matrixed environment.

Qualifications

• Bachelor’s degree in a quantitative or business field (Finance, Economics, Statistics, Analytics, or similar).
• Advanced degree a plus.

Skills

• Fintech, lending, or regulated-industry experience (nice-to-have).
• CRM/lifecycle marketing analytics (email, in-app, push) (nice-to-have).
• Martech/CDP platforms and vendor evaluation (nice-to-have).

Benefits

Competitive cashBenefits effective on day one
Early access to a high potential, high growth fintech
Generous stock option packages in an early-stage startup
Remote friendly (anywhere in the US) and office friendly - you pick the schedule
Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave
401(k) plan with match

Pay

The estimated annual base salary for this position ranges from $200,000 to $230,000. Pay is generally based upon the level, complexity, responsibility, and job duties / requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a Talent Partner about our compensation philosophy and other available benefits.

Schedule

Remote friendly (anywhere in the US) and office friendly - you pick the schedule

Equal Employment Opportunity

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply.