Senior Business Analytics Manager
Listed on 2026-07-10
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IT/Tech
Business Intelligence, Business Systems/ Tech Analyst, Data Analyst, AI Business & Operations
Job Requisition
Position OverviewWe are seeking a Senior Business Analytics Manager to support Go-to-Market Finance organization by driving data-informed strategy, building scalable analytics solutions and AI-enabled workflows that improve planning, forecasting and reporting. This role will play a critical part in accelerating time to insights, reducing manual work, and shaping how Finance uses data, automation, and AI to make better business decisions.
As a manager in the Business Analytics function, you will lead a team responsible for 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 ideal candidate can operate at both the strategic and executional level: partnering with senior stakeholders to define the right business problems, while also being hands‑on enough to query data, prototype solutions, pressure‑test metrics, and partner with technical teams to scale durable products. This is a senior individual contributor role that requires strong business judgment, technical depth, product thinking, and the ability to influence and scale solutions across teams.
ResponsibilitiesLead 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 that enable automated, flexible, and action-oriented Finance analytics
Build and test prototypes for AI-enabled Finance workflows, such as 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 ensuring 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 and create consistency across planning, forecasting, reporting, and business reviews
Apply strong 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 clear storytelling, executive-ready presentations, and concise written narratives
Manage, coach, and develop analysts and contribute to raising the overall analytical, technical, and AI-readiness capabilities of the Business Analytics team
Bachelor’s degree or higher in a quantitative field
8‑10+ years of experience in analytical fields such as consulting, strategic finance, Biz Ops, data science, business intelligence, 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,…
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