Lead Data Analyst

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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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