MyRadar · 8 hours ago
Data Analyst / Data Scientist - App Monetization and User Acquisition Optimization
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Data VisualizationInformation Technology
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Responsibilities
Monetization Optimization:
Create, analyze, test, and optimize ad placements, including banner and interstitial ads, to maximize revenue without compromising user experience
Conduct A/B tests to determine the effectiveness of different ad placements, formats, and frequencies
Develop metrics to measure ad performance and recommend strategies to increase ad click-through rates (CTR) and effective CPMs
Paywall Optimization
User Acquisition Optimization:
Monitor and analyze user acquisition campaigns across multiple channels, including social media, paid search, and app store optimization (ASO)
Develop user segmentation models to identify high-value users and tailor acquisition strategies accordingly
Track campaign performance and calculate customer acquisition costs (CAC) to optimize spend and improve cost efficiency
Collaborate with the marketing team to ensure alignment between campaign goals and acquisition strategies
Cost Accounting and ROI Analysis:
Conduct cost accounting to analyze the profitability of various acquisition channels, ad formats, and campaigns
Track and report on lifetime value (LTV) metrics, revenue per user (ARPU), and other financial KPIs to inform decision-making
Develop dashboards and reports to provide visibility into revenue and cost metrics, enabling data-driven decision-making
Data Analysis and Insights:
Analyze user behavior and engagement data to identify trends and opportunities for growth
Generate insights to inform product and marketing teams, including churn analysis, retention rates, and in-app purchase patterns
Prepare detailed reports and presentations to communicate findings and recommendations to stakeholders
Qualification
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Required
Bachelor’s degree in Data Science, Statistics, Economics, Marketing Analytics, or a related field
2+ years of experience in data analysis, ideally within a mobile app, digital marketing, or ad-tech environment
Strong knowledge of data analytics tools such as SQL, Python, R, or equivalent
Proficiency in product analytics platforms (e.g., Google Analytics, PostHog, etc)
Experience working with Mobile Measurement Providers (Appsflyer, Adjust, etc)
Experience with A/B testing and multivariate testing frameworks
Experience working with mobile ad networks
Strong quantitative skills and an ability to perform complex data analysis
Excellent communication and presentation skills, with the ability to translate data insights into actionable recommendations
Experience in cost accounting and financial modeling
Familiarity with user acquisition and ad monetization within the mobile industry
Preferred
Knowledge of machine learning or predictive analytics is a plus
Company
MyRadar
MyRadar is a mobile app for iPhone, android, and windows phone that shows weather radar and conditions.
Funding
Current Stage
Early StageTotal Funding
$0.8MKey Investors
NOAA Technology Partnerships OfficeNational Oceanic and Atmospheric Administration
2023-08-16Grant· $0.65M
2022-10-25Grant· $0.15M
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