
Senior Data Analyst
Posted Aug 31

Posted Aug 31
This is a fully remote position, open to applicants in Canada.
• Create and sustain executive dashboards and operational reports utilizing Tableau.
• Conduct analysis of business metrics such as revenue, customer growth, subscriptions, retention, product adoption, and operational performance.
• Examine mobile application telemetry, customer behavior, product usage, and feature adoption.
• Investigate security event data to track threats, trends, anomalies, and product effectiveness.
• Collaborate with Finance, Sales, Customer Success, Product Management, Engineering, and Security Intelligence on both recurring and ad hoc analytical needs.
• Establish and monitor KPIs while identifying trends and opportunities for business and product enhancements.
• Convert complex data findings into clear insights and actionable recommendations for both technical and non-technical audiences.
• Write efficient SQL queries in AWS Athena to extract and analyze extensive datasets stored in Amazon S3.
• Consolidate data from various internal systems to create reporting and analytical solutions.
• Design, develop, publish, and maintain Tableau dashboards.
• Guarantee data accuracy, consistency, and integrity.
• Document data sources, business rules, report definitions, and analytical methodologies.
• Recognize opportunities to automate regular reporting and analysis.
• Deliver precise, timely, and actionable insights, continuously improving reporting and analytical capabilities.
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Business, or a related field, or equivalent experience.
• Over 5 years of experience in delivering analytics or business intelligence solutions within technology, mobile applications, cybersecurity, or a similar environment.
• Expert-level proficiency in SQL and experience with complex relational datasets.
• Familiarity with AWS Athena or a comparable cloud-based analytical query engine.
• Advanced experience with Tableau or an equivalent BI platform.
• Strong knowledge of relational databases and data modeling principles.
• Experience analyzing software product telemetry, application usage, or operational event data.
• Proven experience working with large-scale datasets in cloud environments.
• Capability to translate complex data into clear business insights and recommendations.
• Strong analytical, problem-solving, and critical-thinking abilities.
• Excellent written and verbal communication skills.
• Ability to manage multiple priorities and projects with minimal supervision.
• Proficiency in 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 to automate reporting and analysis.
• Bonus
• Equity
• Benefits
Palm Bay International
Palm Bay International
Palm Bay International
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