Product Analyst
LiftoffAbout the role
Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.
Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.
About the Role:
As a Product Analyst on Liftoff’s Product Analytics team, you will turn complex data into rigorous analysis that informs product decisions and supports the evolution of Liftoff’s machine learning–powered platform. You will work closely with Product Managers, Data Scientists, and Machine Learning Engineers to define success metrics, evaluate experiments, and understand the drivers of user behavior and advertising performance. This role is ideal for someone who enjoys working at the intersection of product analytics and machine learning, thrives in a fast-moving, data-rich environment, and wants to deepen their exposure to experimentation, ML-driven products, and large-scale data systems. While this is not a modeling-heavy data science role, you will play a critical role in measuring, monitoring, and interpreting ML performance and product impact.Responsiblities:
As a Product Analyst at Liftoff You Will:
- Partner with Product Managers and Machine Learning teams to define and monitor key success metrics for ML-driven product features.
- Design, analyze, and interpret A/B tests and other experiments to evaluate product and model changes with statistical rigor.
- Analyze large-scale product and performance data to identify trends, anomalies, and drivers of business outcomes.
- Support ML teams by developing analyses and metrics that help quantify model performance, traffic quality, and downstream impact.
- Build and maintain dashboards and reports that enable transparent, self-service monitoring of product and ML performance.
- Develop reusable SQL queries, analytical notebooks, and lightweight frameworks to streamline recurring analyses.
- Investigate unexpected changes in product or business performance and clearly communicate findings and recommendations.
- Collaborate with Data Scientists and Data Engineers to ensure data quality, metric consistency, and reliable instrumentation.
- Document analytical approaches, assumptions, and methodologies to support reproducibility and shared knowledge.
Requirements:
- 3+ years of experience in product analytics, business analytics, or a related data-focused role.
- Degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or equivalent applicable experience.
- Solid SQL skills, with experience querying and transforming large datasets.
- Proficiency in Python for data analysis (e.g., Pandas, NumPy, Jupyter).
- Solid foundation in statistical concepts such as hypothesis testing, experimentation, and regression analysis.
- Experience translating analytical results into clear, actionable insights for both technical and non-technical stakeholders.
- Familiarity with BI and visualization tools (e.g., Looker, Tableau, Hex, or similar).
Nice to have:
- Experience working with or alongside machine learning teams or ML-powered products.
- Exposure to experimentation platforms or causal inference techniques.
- Experience with data pipelines or analytics engineering concepts.
- Background in ad tech, mobile, gaming, or marketplace platforms.
Location:
This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, and WA.
We are a remote-first company
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