Performance Marketing Analyst

We're looking for a hands-on Performance Marketing Analyst, who thrives at the intersection of product, marketing, and business strategy. This role is about living and breathing the data every day—connecting signals across our mobile app, attribution platforms, and marketing channels to surface insights, predict user behavior, and optimize spend in real time.

You'll own the data function for our growth engine. From building predictive models that guide user journeys to structuring campaign performance analysis that actually drive decision-making. This is not just reporting—it's about telling us what matters now, not four months late, and making sure we can act on it.

You Will:

• Drive, Develop and Own Marketing Attribution, Analytics and Unit Economics

• Analyze effectiveness of cross-channel campaigns (mobile, web, paid media), creating structures to compare performance across platforms

• Understand and evaluate user LTV, funnel performance, and conversion metrics across Customer acquisition sources

• Build and maintain media mix/attribution models to help allocate marketing budgets efficiently

• Maintain and iterate on current User Behavior & Predictive Modeling to determine more effective customer segmentations

• Develop models to predict user actions and outcomes within the app

• Segment users at acquisition and throughout the funnel, tailoring experiences and recommendations

• Translate raw app/store data into actionable insights about user behavior and retention

• Design and maintain automated pipelines pulling together marketing and product data for near-real-time reporting.

• Collect and integrate data from multiple touchpoints (attribution tools, app stores, CRM, etc.) into unified dashboards.

• Ensure data availability and accuracy to support rapid decision-making.

• Surface actionable insights weekly (not months behind) that tell us where to shift spend, what's working, and what's not

• Partner with marketing and product teams to tie statistical models directly to business outcomes

• Identify and highlight emerging trends that require immediate action

You Bring:

• 5 years experience working directly on statistics, modeling, and data analysis, with proven ability to connect outputs to business strategy

• Direct experience with Mobile attribution, MMP's similar to Adjust, AppsFlyer, Branch or Singular

• Deep understanding of subscription-based, direct-to-consumer mobile apps.

• Strong expertise in mobile data, app store metrics, user funnel analysis, and lifetime value (LTV) modeling

• Experience building predictive analytics models to optimize marketing spend, with a focus on improving User conversion/retention

• Comfortable designing and automating data pipelines/dashboards for near real-time insight delivery

• Ability to balance strategic mindset with roll-up-your-sleeves execution—you'll both design models and deliver reports

• Excellent communication skills—you can explain complex data to non-technical stakeholders in a way that drives action and business forward

• Familiarity with media mix modeling and experimentation frameworks (e.g., incrementality testing)

• Experience with marketing analytics for high-growth B2C SaaS or fintech applications

• Exposure to machine learning techniques applied in marketing or growth