Senior Data Analyst

• 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.

• 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.

• 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.

• 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 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.

The US base salary range for this full-time position is available below.

We offer base + bonus + equity + benefits.

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.