Data Analyst

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. 

Santa Clara, CA, USA


Druva's innovative approach to backup and recovery has transformed how data is secured, protected and utilized by thousands of enterprises. The Druva Data Resiliency Cloud eliminates the need for costly hardware, software, and services through a simple, and agile cloud-native architecture that delivers unmatched security, availability and scale.

keywords: analysis,teamwork,build,decision making,develop,strategy,execute,experience,technical,degree,analytical

Full Time

Competitive Compensation Package

Overview: The Business Analytics team is looking for a Business Analyst to analyze our core metrics related to our Go-To-Market strategy. This person will work closely with the business to understand their analytics needs, then translate that into actionable reports, insights, and recommendations.
Responsibilities: <ul> <li>Analyze data to find actionable insights that lead to great business decisions</li> <li>Collaborate with key stakeholders to translate business questions into verifiable hypotheses using complex, multi-source data</li> <li>Build dashboards and custom reports to track key metrics, empower other team members with data, and investigate business questions</li> <li>Execute deep-dive analyses addressing key business issues and present findings to stakeholders</li> <li>Demonstrate great judgment in quickly forming actionable, data-driven conclusions in the face of uncertainty</li> <li>Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format</li> <li>Develop Operational and Project plans to implement your insights and recommendations</li> <li>Play an active role in strategic &amp;amp; operational planning discussions</li> </ul>
Requirements: <ul> <li>Bachelor's degree in Computer Science, Statistics, Engineering, Business, or related discipline</li> <li>3+ years relevant experience in financial/business analysis and experience analyzing large datasets to solve business problems and presenting results</li> <li>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</li> <li>Knowledge of fundamental statistical concepts for data analysis</li> <li>Ability to take loosely defined business questions and translate them into clearly defined technical/data specifications</li> <li>Ability to dive deeply into data integrity issues</li> <li>Experience working directly in the SaaS space, bonus to have experience working with Customer Success, Product, and Engineering teams</li> <li>Experience defining requirements and using data and metrics to draw business insights</li> <li>Experience making business recommendations and influencing stakeholders</li> <li>Experience with a modern BI stack with tools such as Looker, Snowflake, dbt, Tableau, Alteryx, etc.</li> <li>Experience with Microsoft Office/Google Suite (Excel, PPT)</li> <li>Experience with SQL and Data Modeling</li> </ul>