Data Analyst

Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data - providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today’s ever-connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn, X and Facebook.

The Role & The Team:

The Business Analytics team is looking for a Data 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. 

Data Analyst

What You’ll Do:

• 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
• 3+ 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