Lead Data Analyst - (Remote)

Liftoff

Massachusetts

Remoto

USD 140.000 - 190.000

Tempo integral

Há 7 dias
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Benefícios oferecidos por esta vaga

Equity
Health, vision, dental benefits
Wellness stipend
Remote-first with US hubs

Resumo da vaga

Liftoff is seeking a Lead Data Analyst to join our analytics leadership. You will tackle highly complex problems, write and optimize SQL on massive datasets, and translate insights into business impact for Commercial teams.

You will partner with Engineering, Product, Data Science, and Finance to drive data-driven initiatives. You will mentor others, lead cross-functional projects, and contribute to evolving analytics workflows in a remote-first organization with US-based hubs.

Qualificações

  • 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).
  • ~ Proficiency with Looker, Tableau, or similar BI tools.
  • ~ Demonstrated ability to break down ambiguous business problems into structured analyses leading to actionable recommendations.
  • ~ 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.

Responsabilidades

  • 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.
  • 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.
  • Partner cross-functionally with Engineering, Product, Data Science, and Finance teams to drive initiatives forward.

Conhecimentos

SQL scripting
BI skills
Data analysis
Mentoring & leadership
Problem solving
Communication & presentation

Formação

B.S. in Analytics or related field

Ferramentas

BigQuery
Snowflake
Redshift
Trino
Looker
Tableau

Descrição da vaga

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.

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. Drive analysis and insight generation on highly complex, ambiguous business and technical questions; 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.
  • 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.
  • Partner cross-functionally with Engineering, Product, Data Science, and Finance teams to drive initiatives forward.
  • 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).
  • ~ Proficiency with Looker, Tableau, or similar BI tools.
  • ~ Demonstrated ability to break down ambiguous business problems into structured analyses leading to actionable recommendations.
  • ~ 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.

This role is eligible for full-time remote work in one of our entities: 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. These gatherings provide essential opportunities for collaboration, communication, and team building.

  • Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence.
  • Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance.
  • Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.

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.

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