Application window has been extended and expected to close on 05/09/2025. However, the job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received.
Your Impact
Reporting into the Splunk Topline Finance team, this Leader will maintain and build upon revenue and bookings models and apply heavy data analytics to understand core inputs to influence and shape strategy. This is an outstanding opportunity to become a key advisor for Splunk leaders and grow your career within Cisco.
Relationship Building: Establish positive cross functional relationships and become a strategic advisor for Sales leaders.
Financial Modeling: Assist in developing annual operating plans, quarterly and monthly financial forecasts, and ongoing analysis of actuals versus plan and/or forecast. Distill/synthesize business performance indicators/metrics, assess and communicate risks and opportunities
Data Analysis and Interpretation: Conduct detailed data analysis, interpret results and provide actionable insights to drive business decisions.
Process Improvement: Identify and drive optimization of financial performance through process improvement recommendations and implement solutions across the organization
Automation: Find opportunities to automate manual processes, streamline workflows and improve data accuracy and efficiency.
People Management: Manage and develop one team member
Minimum qualifications
10 years of related finance experience
Experience managing bookings or revenue financial planning and analysis
Proficiency in Excel
Experience in data analysis and financial modeling
Shown success in developing and applying financial concepts, practices, and procedures
Ability to work independently, taking responsibility for what you do, driving initiatives and implementing change where you see fit and necessary
Preferred qualifications
Bachelor’s/Master’s degree in accounting or finance
Experience at a high-growth software business
Experience managing one or more team members
Familiarity with Alteryx, Tableau, Salesforce, or other data analytics tools