Dovly AI
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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'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 after the moment has passed. Turning your recommendations into actionable insights. You Will
Drive, Develop and Own Marketing Attribution & Analytics Analyze cross-channel campaigns (mobile, web, paid media) and create 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 User Behavior & Predictive Modeling to determine customer segmentation 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. Tell us where to shift spend, what's working, and what's not. Focused on high value conversion with minimal Unit Economic impact 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
Strong background in statistics, modeling, and data analysis, with proven ability to connect outputs to business strategy Hands-on experience with mobile attribution (Adjust, AppsFlyer, Branch, Singular, or equivalent) Familiarity with subscription-based, direct-to-consumer mobile apps Deep understanding of mobile data, app store signals, funnel analysis, and LTV modeling Experience building predictive models to optimize marketing spend and improve 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 in a way that drives action Familiarity with media mix modeling and experimentation frameworks (e.g., incrementality testing) Experience with marketing analytics for high-growth B2C SaaS or fintech apps Exposure to machine learning techniques applied in marketing or growth Seniority level
Entry level Employment type
Full-time Job function
Marketing and Sales Industries
Consumer Services
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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 after the moment has passed. Turning your recommendations into actionable insights. You Will
Drive, Develop and Own Marketing Attribution & Analytics Analyze cross-channel campaigns (mobile, web, paid media) and create 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 User Behavior & Predictive Modeling to determine customer segmentation 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. Tell us where to shift spend, what's working, and what's not. Focused on high value conversion with minimal Unit Economic impact 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
Strong background in statistics, modeling, and data analysis, with proven ability to connect outputs to business strategy Hands-on experience with mobile attribution (Adjust, AppsFlyer, Branch, Singular, or equivalent) Familiarity with subscription-based, direct-to-consumer mobile apps Deep understanding of mobile data, app store signals, funnel analysis, and LTV modeling Experience building predictive models to optimize marketing spend and improve 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 in a way that drives action Familiarity with media mix modeling and experimentation frameworks (e.g., incrementality testing) Experience with marketing analytics for high-growth B2C SaaS or fintech apps Exposure to machine learning techniques applied in marketing or growth Seniority level
Entry level Employment type
Full-time Job function
Marketing and Sales Industries
Consumer Services
#J-18808-Ljbffr