SupportFinity™
Overview
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 will own the data function for our growth engine, from building predictive models that guide user journeys to structuring campaign performance analysis that actually drives decision-making. This is not just reporting—it's about telling us what matters now and ensuring we can act on it.
This role will work on a Hybrid schedule — Monday, Wednesday, Friday from our HQ in Phoenix.
You Will
Drive, develop, and own marketing attribution, analytics, and unit economics
Analyze the 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 and 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 and MMPs 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 and retention
Comfortable designing and automating data pipelines and dashboards for near real-time insight delivery
Ability to balance strategic mindset with hands-on 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
About the company Dovly AI
#J-18808-Ljbffr
You will own the data function for our growth engine, from building predictive models that guide user journeys to structuring campaign performance analysis that actually drives decision-making. This is not just reporting—it's about telling us what matters now and ensuring we can act on it.
This role will work on a Hybrid schedule — Monday, Wednesday, Friday from our HQ in Phoenix.
You Will
Drive, develop, and own marketing attribution, analytics, and unit economics
Analyze the 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 and 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 and MMPs 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 and retention
Comfortable designing and automating data pipelines and dashboards for near real-time insight delivery
Ability to balance strategic mindset with hands-on 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
About the company Dovly AI
#J-18808-Ljbffr