Overview
This role is responsible for supporting the Go-to-Market Finance organization by driving data-informed strategy and building scalable analytics solutions and AI-enabled workflows that improve planning, forecasting, and reporting. You will help accelerate time to insights, reduce manual work, and shape how Finance uses data, automation, and AI to support better business decisions.
As a senior individual contributor in Business Analytics, you will lead complex, cross-functional initiatives across Finance, Sales, Data Engineering, and business operations. You will turn ambiguous business problems into structured analytical frameworks, scalable data products, and practical AI-enabled solutions that improve decision quality and operational efficiency.
You will operate at both the strategic and hands-on execution levels—partnering with senior stakeholders to define the right business problems, while also querying data, prototyping solutions, validating metrics, and partnering with technical teams to scale durable products.
Responsibilities
- Lead end-to-end analytics and AI-enabled workflow initiatives, from problem framing and stakeholder alignment through solution design, insight generation, adoption, and measurable business impact
- Partner with Finance stakeholders to understand planning, forecasting, and reporting workflows, and identify opportunities to improve them through data, automation, and AI
- Translate ambiguous Finance and business challenges into structured analytical frameworks (including data modeling, KPI design, forecasting, experimentation, and decision-support workflows)
- Design and build scalable data products, including pipelines, tables, dashboards, reporting layers, and AI-ready datasets that enable automated, flexible, action-oriented Finance analytics
- Build and test prototypes for AI-enabled Finance workflows, such as:
- automated business review narratives
- anomaly detection and variance explanation
- forecast drivers
- natural-language insight discovery
- self-service reporting
- Partner with Data Engineering, Finance Systems, and central data teams to move prototypes into reliable, governed, production-ready solutions
- Define and standardize KPI frameworks for financial metrics to ensure alignment across Finance and business teams
- Design and scale dashboards, reporting solutions, and self-service analytics experiences that improve adoption, reduce manual reporting, and help business partners make faster, more consistent decisions
- Analyze business and financial metrics to uncover key drivers of growth, retention, churn, productivity, and efficiency, and recommend clear data-backed actions
- Establish scalable, repeatable analytics frameworks and best practices that improve Finance decision-making across planning, forecasting, reporting, and business reviews
- Apply governance, quality control, and documentation practices to ensure AI-enabled workflows are accurate, explainable, secure, and appropriate for Finance decision support
- Communicate insights, recommendations, and roadmap tradeoffs to senior leadership through executive-ready presentations and concise written narratives
- Mentor junior analysts and help raise the team’s analytical, technical, and AI-readiness capabilities
Minimum Qualifications
- Bachelor’s degree or higher in a quantitative field
- 8-10+ years of experience in analytical fields such as consulting, strategic finance, BizOps, data science, business intelligence, or data engineering
- Advanced SQL skills, including working with large, complex datasets and multiple data sources
- Strong experience with BI and visualization tools such as Power BI (or similar platforms)
- Experience partnering with Finance, GTM, or business leadership teams to support planning, forecasting, reporting, and performance management
- Demonstrated ability to structure ambiguous problems, perform deep analysis, and translate findings into clear business impact
- Experience designing scalable dashboards, reporting solutions, data models, or analytics products that improve self-service and reduce manual work
- Strong stakeholder management skills, including influencing senior business partners and driving alignment across cross-functional teams
- Excellent communication skills to distill complex analysis and technical concepts into clear, actionable recommendations
- Proven ability to lead cross-functional initiatives and deliver results in a matrixed environment
Preferred Qualifications
- Experience supporting Go To Market, SaaS, or subscription-based business models
- Experience building analytics, automation, or AI-enabled workflows for Finance, FP&A, GTM Finance, Sales Finance, or business operations teams
- Experience with Python or other statistical tools for advanced analytics, modeling, or experimentation
- Experience applying AI, machine learning, or generative AI capabilities to business workflows (e.g., automated narratives, anomaly detection, forecasting, natural-language analytics, document intelligence, or decision-support tools)
- Experience designing AI-ready data products, semantic layers, metric stores, or governed datasets that support self-service analytics and workflow automation
- Experience building and deploying predictive models to forecast key metrics
- Experience designing an optimal decision support process, defining a product strategy to enable it, translating it into a roadmap, and enabling it through technology
- Domain experience in FP&A and/or sales, marketing, and customer success operations
- Experience working in high-growth or transformation environments
- Strong understanding of responsible AI practices, including data quality, human-in-the-loop review, model limitations, explainability, and governance considerations
Compensation & Benefits
- For U.S.-based roles, starting base salary is expected to be between $132,000 and $235,950.
- Offers are based on candidate experience and geographic location and may exceed this range.
- Additional compensation may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
- Benefits include health and financial benefits, time away, and everyday wellness.
Location
In-person onboarding and/or in-person ID verification may be required for this role.