About Druva

Druva enables cyber, data and operational resilience for every organization with the Data Resiliency Cloud, the industry’s first and only at scale SaaS solution. Customers can radically simplify data protection, streamline data governance, and gain data visibility and insights as they accelerate cloud adoption. Druva pioneered a SaaS-based approach to eliminate complex infrastructure and related management costs, and deliver data resilience via a single platform spanning multiple geographies and clouds. Druva is trusted by thousands of enterprises, including 60 of Fortune 500, to make data more resilient and accelerate their journey to the cloud. Visit druva.com and follow us on LinkedIn, Twitter and Facebook.

Business Analytics Manager, Customer Success & Product Engagement

What You’ll Do:

• Act as a strategic advisor to your cross-functional stakeholders in Customer Success, Product, and Engineering and a liaison to the technical Business Intelligence team
• Analyze data to find actionable insights that lead to great business decisions
• Collaborate with key stakeholders to translate business questions into verifiable hypotheses using complex, multi-source data
• Build dashboards and custom reports to track key metrics, empower other team members with data, and investigate business questions
• Execute deep-dive analyses addressing key business issues and present findings to stakeholders
• Demonstrate great judgment in quickly forming actionable, data-driven conclusions in the face of uncertainty
• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• Play an active role in strategic & operational planning discussions

What We Are Looking For:

• Bachelor's degree in Computer Science, Statistics, Engineering, Business, or related discipline
• 5+ years relevant experience in financial/business analysis and experience analyzing large datasets to solve business problems and presenting results
• Proven analytical and quantitative skills with an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses 
• Knowledge of fundamental statistical concepts for data analysis
• Ability to take loosely defined business questions and translate them into clearly defined technical/data specifications
• Ability to dive deeply into data integrity issues
• Experience working directly in the SaaS space, bonus to have experience working with Customer Success, Product, and Engineering teams 
• Experience defining requirements and using data and metrics to draw business insights
• Experience making business recommendations and influencing stakeholders
• Experience with a modern BI stack with tools such as Looker, Snowflake, Tableau, Alteryx, etc. 
• Experience with Microsoft Office/Google Suite
• Experience with SQL
• Excellent communication (verbal and written) and interpersonal skills, able to communicate effectively with both business and technical teams