Overview
This role involves leading business analytics and AI-enabled workflow initiatives to support the Go-to-Market Finance organization. Responsibilities include driving data-informed strategy, building scalable analytics solutions, and improving planning, forecasting, and reporting through automation and AI.
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 translate ambiguous business problems into structured analytical frameworks, scalable data products, and practical AI-enabled solutions that improve decision quality and operational efficiency.
The role combines strategic partnership with hands-on execution: partnering with senior stakeholders to define the right business problems, while also querying data, prototyping solutions, pressure-testing 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 to solution design, insight generation, adoption, and measurable business impact
- Partner closely 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 enabling automated, flexible, action-oriented Finance analytics
- Build and test prototypes for AI-enabled Finance workflows, including automated business review narratives, anomaly detection, variance explanation, forecast drivers, natural-language insight discovery, and 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 to improve adoption, reduce manual reporting, and help business partners make faster, more consistent decisions
- Analyze business and financial metrics to identify key drivers of growth, retention, churn, productivity, and efficiency, and recommend data-backed actions
- Establish scalable, repeatable analytics frameworks and best practices to improve Finance decision-making and consistency 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 increase the analytical, technical, and AI-readiness capabilities of the Business Analytics team
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 with the ability to work 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, including the ability to distill complex analysis, technical concepts, and business tradeoffs 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, such as 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 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, expected starting base salary range: $132,000 to $235,950
- Offers are based on experience and geographic location and may exceed this range
- Compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package
Location
- U.S.-based role (salary range provided for U.S.-based roles)
Other Information
- This role may require in-person onboarding and/or in-person ID verification.