The ad says“Write efficient SQL queries in AWS Athena to extract and analyze large datasets stored in Amazon S3”
The ad says“Write efficient SQL queries in AWS Athena to extract and analyze large datasets stored in Amazon S3”
The ad says“Strong understanding of relational databases and data modeling”
The ad says“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”
The ad says“Develop and maintain executive dashboards and operational reports using Tableau”
Values
The ad says“Familiarity with AI-enabled tools and workflows for automating reporting and analysis”
The ad says“Knowledge of data governance and data quality practices”
The ad says“Knowledge of data governance and data quality practices”
The ad says“Experience with Python or R for statistical analysis, data exploration, and automation”
The ad says“Experience with Python or R for statistical analysis, data exploration, and automation”
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
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
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
Benefits
Comprehensive healthcare benefits
Paid parental leave
Fitness reimbursement
Company match for charitable donations
Cell phone reimbursement
Work-from-home support
Anniversary awards
All-hands gatherings
Community groups
Team-building activities
Paid time off
Volunteer time off
Company holidays
Global holiday shutdown
Preferred experience
Ability to manage multiple priorities and projects with minimal supervision
Strong analytical, problem-solving, and critical-thinking skills
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
Strong understanding of relational databases and data modeling
Advanced Tableau or equivalent BI platform experience
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Business, or a related field, or equivalent experience
Ability to translate complex data into clear business insights and recommendations
Experience working with large-scale datasets in cloud environments
Experience analyzing software product telemetry, application usage, or operational event data
Excellent written and verbal communication skills
Familiarity with AI-enabled tools and workflows for automating reporting and analysis
Knowledge of data governance and data quality practices
Experience in cybersecurity, mobile applications, and/or SaaS
Experience with Python or R for statistical analysis, data exploration, and automation
