Senior Business Analytics Manager

## Senior Business Analytics Manager Apply locations:
San Francisco, CA, USA:
Colorado, USA
- Remote:
California, USA
- Remote:
Georgia, USA
- Remote:
Massachusetts, USA
- Remote time type:
Full time posted on:
Posted Yesterday job requisition :
26WD99697
** Job

Requisition  #
** 26WD99697
* * Position Overview
** We 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.##

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** 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 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
** Minimum Qualifications
*** 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…