JobsData AnalystUnited StatesLead Data Analyst
Liftoff
Posted today
Lead Data Analyst
Liftoff · California, United States
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In short
Drive analysis and insight generation on complex business and technical questions while influencing operational decisions at a senior level. Lead transformational projects end-to-end and mentor other analysts on technical rigor and strategic insight development.
What they're looking for
MUST-HAVE SKILLS
ALSO MENTIONED
Requires a bachelor's degree in a quantitative field and 8+ years of experience in data analytics or consulting. Expertise in complex SQL, cloud data warehouses, and statistical methodologies is essential.
About the employer
Liftoff Mobile
Grow your mobile business · hiring as Liftoff
Liftoff helps mobile businesses maximize their revenue. It provides machine learning-powered marketing, monetization, and creative solutions that create better ad experiences and connect people with the products they love.
- INDUSTRY
- Advertising Services
- COMPANY
- Privately Held
- HEADQUARTERS
- Redwood City, CA
- SIZE
- 501-1,000
- OFFICES
- 12 on LinkedIn
KNOWN FOR
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Questions about this role
- Is this Liftoff role remote?
- Tagged remote.
- What does it pay?
- The posting lists $142,000–$195,000 a year.
- Does it sponsor visas?
- Listed as no visa sponsorship.
- What experience does it ask for?
- Listed as 10+ years.
The posting, in full
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.
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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 Lead Data Analyst, you will report directly to the VP of Analytics & Operations Supply and act as the team's senior individual contributor on the hardest and most ambiguous analytical problems across Liftoff's supply side. You will act as a technical and strategic thought leader, defining best practices for analytics, and mentoring analysts on technical rigor, problem-solving, and strategic insight development. This role demands technical depth, strong business acumen, and leadership skills to drive impact across multiple teams.
Responsibilities
- Drive analysis and insight generation on highly complex, ambiguous business and technical questions; influence roadmap and operational decisions at a senior level.
- Write and optimize complex SQL queries for large-scale datasets (billions of rows), developing reproducible analytics workflows.
- Conduct root-cause analysis and triage technical issues at the intersection of product performance and business KPIs.
- Build and automate dashboards, ad-hoc analysis tools, and internal reporting pipelines using SQL, Looker, and/or Tableau.
- Translate highly technical concepts (e.g., ML model changes, SDK upgrades, auction mechanics) into business impact analysis for Commercial teams and leadership.
- Lead transformational projects end-to-end, from ideation and scoping through technical execution and operational rollout.
- Mentor other analysts on technical best practices, business context, and effective communication.
- Partner cross-functionally with Engineering, Product, Data Science, and Finance teams to drive initiatives forward.
Requirements
- B.A./B.S. degree in Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
- 8+ years of experience in data analytics, consulting, or business analytics roles, preferably in high-tech or AdTech.
- Expertise writing complex, performance-optimized SQL on massive datasets; experience with cloud data warehouses (BigQuery, Snowflake, Redshift, Trino).
- Solid grounding in statistical inference, A/B test design, and causal reasoning; comfortable with confidence intervals, statistical power, and the failure modes of noisy experiments.
- Proficiency with Looker, Tableau, or similar BI tools.
- Demonstrated ability to break down ambiguous business problems into structured analyses leading to actionable recommendations.
- Can connect a technical finding to revenue, margin, and partner impact without being told how.
- Strong written and verbal skills; able to tailor technical concepts for a range of audiences from engineering to C-level leadership. Consulting-style structured presentation skills: you can build a narrative, defend a recommendation, and handle pushback in the room.
- Ability to mentor others, lead cross-functional projects, and drive organizational change through data insights.
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, PA, TX, UT, and WA.
We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.
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 multiple levels:
- SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $165,000 - $195,000
- Olympia, Austin, San Diego, Santa Barbara, Boston: $152,000 - $179,000
- All other cities and towns in our approved states: $142,000 - $167,000
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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