Lead Data Analyst

Team: Analyst

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Lead analysis and generate actionable insights on complex, ambiguous business and technical questions, influencing strategic roadmaps and operational decisions.

• Develop, write, and optimize sophisticated SQL queries across large-scale datasets containing billions of rows, while building reproducible analytical workflows.

• Conduct root-cause investigations and troubleshoot issues involving product performance, technical systems, and business KPIs.

• Build and automate dashboards, ad hoc analytical tools, and internal reporting pipelines using SQL and business intelligence platforms such as Looker and Tableau.

• Translate technical developments—including machine learning model changes, SDK upgrades, and auction mechanics—into clear business impact assessments for Commercial teams and senior leadership.

• Lead transformational projects end-to-end, from initial ideation and scoping to technical execution and operational rollout.

• Mentor analysts on technical excellence, business context, structured problem-solving, and effective communication.

• Collaborate with Engineering, Product, Data Science, and Finance teams to advance cross-functional initiatives and drive measurable results.

Requirements:

• Bachelor’s degree in Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related discipline.

• At least 8 years of experience in data analytics, consulting, or business analytics, ideally within high-tech or advertising technology environments.

• Advanced SQL expertise, including the ability to write and optimize complex queries against massive datasets.

• Experience working with cloud data warehouse technologies such as BigQuery, Snowflake, Redshift, or Trino.

• Strong understanding of statistical inference, A/B testing methodology, and causal reasoning, including confidence intervals, statistical power, and common sources of experimental noise.

• Proficiency with Looker, Tableau, or comparable business intelligence and data visualization tools.

• Proven ability to structure ambiguous business challenges into rigorous analyses and translate findings into practical recommendations.

• Strong commercial acumen, with the ability to connect technical insights to revenue, margins, and partner outcomes.

• Excellent written and verbal communication skills, including the ability to adapt complex technical concepts for audiences ranging from engineering teams to C-level executives.

• Strong presentation and stakeholder management capabilities, with the confidence to develop compelling narratives, defend recommendations, and respond effectively to challenging questions.

• Demonstrated leadership through mentoring, cross-functional project management, and the ability to drive organizational change using data-driven insights.

Benefits:

• Competitive annual base salary, determined by location and experience:

  • San Francisco Bay Area, Los Angeles/Orange County, New York City, and Seattle: $165,000–$195,000.

  • Olympia, Austin, San Diego, Santa Barbara, and Boston: $152,000–$179,000.

  • Other cities and towns within approved states: $142,000–$167,000.

  • Equity as part of the overall compensation package.

  • Medical, dental, and vision coverage, with benefits tailored to the employee’s country of residence.

  • Additional well-being benefits and perks, which may include wellness stipends and other location-dependent offerings.

  • Full-time remote work available in approved U.S. states: California, Colorado, Idaho, Illinois, Florida, Georgia, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, Nevada, New York, Oregon, Pennsylvania, Texas, Utah, and Washington.

  • A remote-first working environment, with opportunities to connect through in-person project meetings, regional gatherings, and company-wide events.

  • Quarterly in-person team gatherings are expected to support collaboration, communication, and team building.

  • A fast-paced, collaborative environment offering opportunities to take ownership, develop professionally, and contribute to the evolution of the mobile app ecosystem.