Liftoff

Product Analyst

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About 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 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.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Digital Marketing Finance MySQL Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the Product Analyst role.
  2. How would you approach your first 30 days at Liftoff?
  3. Which of Data Analysis, Digital Marketing and Finance have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Digital Marketing and Finance.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Product Analyst role because I can bring practical experience in Data Analysis, Digital Marketing and Finance, learn the team quickly, and contribute to the outcomes Liftoff needs from this hire.

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