Conduct comprehensive analyses of customer and account performance using data from multiple systems, including bookings, ARR, ticketing/support trends, telemetry/usage data, and customer demographics.
Develop frameworks and models that surface churn indicators, retention drivers, and upsell/cross-sell opportunities, enabling data-driven account strategies
Create and maintain executive-level dashboards and reports that highlight customer health, renewal risk, expansion opportunities, and overall account performance, working closely with regional leads to ensure relevance and accuracy.
Collaborate with Sales, Finance, Product Management, and other teams to gather and analyze data, ensuring accuracy and completeness.
Prepare clear, compelling PowerPoint presentations to communicate findings and recommendations to executive leadership.
Conduct research and benchmarking to support customer/account strategy and strategic initiatives or programs.
Partner with stakeholders to assess potential divestiture opportunities, including financial modeling and market analysis.
Provide ad-hoc analysis and strategic recommendations for optimizing the portfolio, programs and aligning resources with growth priorities.
Ability to develop advanced scripts to automate and refresh PowerPoint presentations with various Power BI graphics.
Required Skills
Advanced proficiency in Excel for data analysis and visualization (including PowerQuery and PowerPivot).
Expertise in PowerPoint, with the ability to create high-impact, professional presentations.
Proficiency in SQL for extracting and analyzing complex datasets.
Experience with modern BI tools (Power BI, Tableau, or similar) for dashboard creation and data visualization.
Familiarity with programming languages like DAX/Python or R for advanced analytics (preferred but not required).
Strong knowledge of product analytics tools and methodologies for assessing usage and customer behavior.
Experience with Salesforce, Revenue Cloud, or comparable CRM systems.
Required Experience
Bachelor’s degree in Business, Finance, Data Analytics, or a related field.
5+ years of experience in product analysis, financial analysis, or related roles, ideally within a SaaS/software environment.
Strong proficiency in data analysis tools and platforms, including Excel, SQL, and Power BI or Tableau.
Demonstrated ability to synthesize large data sets into actionable insights and executive-level recommendations.
Experience in financial modeling, including cost-revenue analysis and product profitability assessment.
Proven track record of creating and delivering executive-level presentations.
Familiarity with SaaS metrics (ARR, CAC, LTV, NRR) and understanding of software product lifecycle management.