[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Liftoff logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/c47aea9f-221.png)](https://jobicy.com/company/liftoff.md)Remote opportunity at[Liftoff](https://jobicy.com/company/liftoff.md) # Product Analyst Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/liftoff.md)Share12 Sep 2026Published60Listing views4Application actions12 Oct 2026Apply before Opportunity details ## About this role. AI SummaryLiftoff is hiring a senior Product Analyst to own end-to-end analysis for product teams supporting its machine learning-powered mobile advertising platform. The role centers on defining product metrics, designing and interpreting A/B tests, building dashboards, investigating performance shifts, and translating data into product recommendations. The analyst will work closely with Product Managers, Data Scientists, Data Engineers, and ML Engineers while independently managing work from problem framing through presentation. Candidates need at least five years of analytics experience, advanced SQL, Python-based analysis skills, experimentation expertise, and the ability to communicate clearly with technical and non-technical stakeholders. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior analytical role requiring independent ownership of ambiguous product questions, rigorous experimentation, and familiarity with product and advertising-performance metrics. The analyst must balance technical depth in SQL, Python, and statistical analysis with influential communication across product and ML partners. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$148,000US market range$120k–$180k0$198k AI insightThe disclosed yearly base-salary ranges are $137,000–$170,000 for SF Bay Area, Los Angeles/Orange County, and Seattle, and $126,000–$156,000 for other eligible California, Nevada, Oregon, and Washington locations. The combined disclosed offer span is $126,000–$170,000, with a midpoint of $148,000. A competitive US market base-salary range for a Product Analyst with 5+ years of experience in product analytics, experimentation, SQL, and Python is approximately $120,000–$180,000 annually; equity and benefits may be additional. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product analytics](https://jobicy.com/jobs?search_keywords=Product%20analytics.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Statistical analysis](https://jobicy.com/jobs?search_keywords=Statistical%20analysis.md)[Product metrics](https://jobicy.com/jobs?search_keywords=Product%20metrics.md)[Dashboard development](https://jobicy.com/jobs?search_keywords=Dashboard%20development.md)[Looker/Tableau](https://jobicy.com/jobs?search_keywords=LookerTableau.md)[Data visualization](https://jobicy.com/jobs?search_keywords=Data%20visualization.md)[Stakeholder communication](https://jobicy.com/jobs?search_keywords=Stakeholder%20communication.md) Sample interview questionsHow would you evaluate whether a newly launched product feature improved user outcomes?I would first align with product partners on the feature’s intended user and business outcomes, define a primary success metric and guardrail metrics, and confirm instrumentation quality. Where possible, I would run a randomized A/B test, assess statistical significance and practical impact, segment results thoughtfully, and present a recommendation that includes limitations and next steps. Describe how you investigate an unexpected decline in a key product metric. I begin by validating the metric definition, pipeline freshness, and tracking changes to rule out data-quality issues. I then decompose the trend by time, platform, geography, customer segment, funnel step, and relevant product releases to isolate likely drivers. I communicate an evidence-based diagnosis, quantify impact, and recommend follow-up actions or monitoring. What makes an experiment analysis statistically rigorous? Rigorous analysis starts with a clear hypothesis, predefined metrics, an appropriate unit of randomization, adequate sample size, and checks for assignment integrity. I consider confidence intervals alongside p-values, account for multiple comparisons when needed, review guardrails and segment effects cautiously, and distinguish statistical significance from meaningful business impact. How do you make dashboards useful rather than simply comprehensive? I design dashboards around specific decisions and audiences, prioritizing a small set of clearly defined metrics with useful comparisons, filters, and alerting. I document metric logic, validate data sources with stakeholders, and iterate based on how teams actually use the dashboard. The goal is self-service visibility that reduces repetitive analysis without obscuring important context. How would you communicate a complex analytical finding to a non-technical Product Manager? I would lead with the decision-relevant conclusion, expected impact, and recommended action before explaining methodology. I use simple visuals and plain language to show the evidence, state important assumptions and uncertainty, and reserve technical detail for an appendix or follow-up discussion. This lets the stakeholder act confidently while preserving analytical transparency. 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 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 #LI-REMOTE 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. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System. 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