Senior Data Analyst, Barracuda Networks

• Bachelor’s / Master’s degree in Data Analytics, Finance, Business Administration, or a related analytical discipline
• 3+ years of hands-on data wrangling using SQL, Excel or any other data analytics tool in a GTM or FP&A function to drive business insights and reporting
• Strong business acumen and knowledge of the GTM landscape, including Opportunities, Bookings, Subscriptions, Customers, Products, and their relevant datasets
• Demonstrate a proactive approach to meeting business needs by prioritizing and managing multiple requests, executing them efficiently and effectively

Desirable

• The Corporate Analytics Team is housed within the Corporate FP&A function at Barracuda and enables business leaders across the enterprise to make critical operational & strategic decisions through deep data analysis, insightful BI Reporting and advanced analytics
• As we are building a world class team and capabilities across all the above areas, we are looking for a highly hands on Senior Data Analyst to join our team
• The person will get a fantastic opportunity to work hand in hand with a broad range of business groups and be directly responsible for enabling them to meet and exceed their goals through insightful analysis & reporting
• Conduct in-depth analysis of bottoms-up data driving key SaaS metrics for the organization – Bookings, ARR, NRR, GRR, Churn, etc and share insights into trends
• Perform comprehensive analysis of large, complex GTM datasets using tools like SQL, Excel, Python, and identify critical business drivers and opportunities for growth
• Collaborate with C-suite executives from Customer Success, Product, Finance (FP&A), Sales, and Marketing to identify strategic business needs and translate them into data-driven insights and actionable recommendations
• Diagnose and resolve data issues efficiently, partnering with data warehouse teams to implement temporary solutions or automation that maintain data quality and operational continuity
• Initiate, own, and drive business and data projects, executing them end-to-end by collaborating with business stakeholders and data warehouse teams
• Partner with Data Engineers and BI teams to build scalable data pipelines and automated reports that enable real-time reporting and analysis of key organizational metrics
• Create succinct and impactful presentations on data projects or analytical findings and effectively communicate the business value and implications to diverse audiences