Lookout, Inc. is the leader in mobile AI security, delivering continuous threat exposure management for the modern, mobile-driven enterprise. Built on over 15 years of specialized expertise and informed by a global dataset analyzing hundreds of millions of mobile devices and applications, Lookout protects organizations against both behavioral and structural mobile risk.

Through its unified platform, featuring AI Visibility & Governance and the Mobile Software Exposure Center (MSEC), Lookout secures both sides of the mobile AI equation: governing user-to-AI interactions to prevent outbound data leakage while illuminating the mobile software supply chain to neutralize inbound, machine-speed vulnerabilities. By seamlessly feeding real-time mobile telemetry into broader enterprise CTEM and SOC workflows, Lookout closes the mobile exposure blind spot, enabling organizations to reduce risk and operate with confidence. To learn more, visit www.lookout.com and follow Lookout on LinkedIn and X.

About the Role:

We are looking for a Senior Data Analyst to lead the company's reporting and analytics function. As the sole Data Analyst, this role serves as an internal analytics consultant, partnering with teams across the organization to turn business, product, and security data into actionable insights.

The Senior Data Analyst analyzes business operations, customer behavior, mobile application telemetry, and security event data to support decision-making, measure product performance, identify trends, and inform strategic planning. They also contribute to financial reporting, assisting with quarter-end close, invoicing and reconciliation. Success in this role requires advanced SQL skills, strong analytical and problem-solving abilities, independence, and excellent communication skills.

What You'll Do:

Business, Product & Security Analytics

Develop and maintain executive dashboards and operational reports using Tableau.
Analyze and contextualize:

business metrics including revenue, customer growth, subscriptions, retention, product adoption, and operational performance.
mobile application telemetry, customer behavior, product usage, and feature adoption.
security event data to monitor threats, trends, anomalies, and product effectiveness.

Partner with Finance, Sales, Customer Success, Product Management, Engineering, and Security Intelligence to address recurring and ad hoc analytical needs.
Define and monitor KPIs and identify trends and opportunities for business and product improvement.
Translate complex data findings into clear insights and recommendations for technical and non-technical audiences.

Data & Reporting

Write efficient SQL queries in AWS Athena to extract and analyze large datasets stored in Amazon S3.
Integrate data from multiple internal systems to develop meaningful reporting and analytical solutions.
Design, develop, publish, and maintain Tableau dashboards used throughout the organization.
Ensure data accuracy, consistency, and integrity.
Document data sources, business rules, report definitions, and analytical methodologies.
Identify opportunities to automate recurring reporting and analysis.

Qualifications:

Required

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Business, or a related field, or equivalent experience.
5+ years of experience delivering analytics or business intelligence solutions in technology, mobile applications, cybersecurity, or a related environment.
Expert-level SQL proficiency and experience working with complex relational datasets.
Experience with AWS Athena or a similar cloud-based analytical query engine.
Advanced Tableau or equivalent BI platform experience.
Strong understanding of relational databases and data modeling.
Experience analyzing software product telemetry, application usage, or operational event data.
Experience working with large-scale datasets in cloud environments.
Ability to translate complex data into clear business insights and recommendations.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent written and verbal communication skills.
Ability to manage multiple priorities and projects with minimal supervision.

Preferred

Experience with Python or R for statistical analysis, data exploration, and automation.
Experience in cybersecurity, mobile applications, and/or SaaS.
Knowledge of data governance and data quality practices.
Familiarity with AI-enabled tools and workflows for automating reporting and analysis.

Success in This Role:

Success in this role means becoming a trusted analytics partner across the organization. The Senior Data Analyst will deliver accurate, timely, and actionable insights; proactively identify opportunities for improvement; and continuously enhance the company's reporting and analytical capabilities.

This posting is for an existing vacancy. We are actively recruiting to fill this position immediately.