Product Analyst

About this role

As a Product Analyst at Liftoff, you'll turn complex data into rigorous analysis that informs product decisions across our machine learning-powered platform. You'll own the analytical needs of your product team end to end: identifying the right questions, executing the analysis, and presenting results that shape what gets built. You'll 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.

Responsibilities

• Source, scope, execute, and present analyses for your product team, working independently from question to recommendation.
• Partner with Product Managers and ML teams to define and monitor key success metrics for product features.
• Design, analyze, and interpret A/B tests and other experiments with statistical rigor.
• Build and maintain dashboards and reports that enable transparent, self-service monitoring of product performance.
• Develop reusable SQL, analytical notebooks, and lightweight frameworks, including LLM-assisted workflows, to streamline recurring analyses.
• Investigate unexpected changes in product or business performance and clearly communicate findings and recommendations.
• Build a strong working knowledge of Liftoff's core data tables, your product area, and the wider product suite.
• 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.
• Other duties as assigned.

Requirements

• 5+ years of experience in analytics
• Strong SQL skills and proficiency in Python for data analysis.
• Experience delivering analytical projects independently, from scoping through to presentation.
• Strong communication skills, with the ability to explain analytical results to both technical and non-technical audiences.
• Familiarity with BI and visualization tools (e.g., Looker, Tableau, Hex, or similar).
• Degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Engineering, or equivalent practical experience.

Location

This role is eligible for full-time remote work in one of our entities in the Pacific Time Zone: California, Nevada, Oregon, and Washington (State).

Travel Expectations

We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.

Compensation

Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience.

The following are our base salary ranges for this role:

• SF Bay Area, Los Angeles/Orange County, Seattle: $137,000 - $170,000
• All other California, Nevada, Oregon, Washington state locations: $126,000 - $156,000

Conclusion

Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next.

Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.

Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.