What are the responsibilities and job description for the Director, Business Analytics position at Druva?
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.
Director of Business Intelligence / Analytics
The Role & The Team
The Business Intelligence team is responsible for all data driven insights and activations of those data sets into operational cadence and business process optimizations for Druva. We are seeking a Director of Business Intelligence / Analytics that will lead data to insights recommendation engine and stakeholder engagement. This is a high impact role that will offer exposure to the Executive team, collaborate with highly skilled engineers & product teams and leverage industry leading data stack / tools.
What You’ll Do
- Act as a strategic advisor on data and insights for cross-functional stakeholders in GTM, Customer Success, Product, and Engineering and a liaison to the technical engineering teams.
- Build dashboards and custom reports to track key metrics, empower other team members with data, and investigate business questions and offer recommendations that align with Corp and BU goals.
- Play an active role in strategic & operational planning discussions and in some cases lead cross functional transformational programs.
- Ability and willingness to negotiate and prioritize requests with stakeholders and translate them into detailed roadmaps and project plans.
- Coach and guide data analysts and engineering teams on focusing on right business problems and articulate what outcomes and benefits to all stakeholders.
- Contribute to Architectural stack analysis to scale DataOps, Data Management, Data strategy (Reverse ETL, Operational Analytics, MDM / Customer 360, Advanced Analytics, Generative AI / ML, Data Apps / Data Fabric).
What We Are Looking For
The pay range for this position is expected to be between $190,000 and $266,000 / year; however, base pay offered may vary depending on multiple individualized, non-discriminatory factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other incentive compensation opportunities in the form of discretionary annual bonus or commissions, and equity. Additionally, full-time employees are eligible to participate in our comprehensive benefits program, including health and wellness benefits, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.
Seniority level
Employment type
Job function
J-18808-Ljbffr
Salary : $190,000 - $266,000
