Finance Analyst

Position Summary

This role leads large-scale analytics initiatives across Finance Operations (order to cash), enabling automated insights, improved decision-making, and measurable business outcomes. The individual will partner cross-functionally to design robust datasets, build scalable analytical models and dashboards, and translate complex financial performance drivers into clear, executive-ready narratives.

Key Responsibilities

Automated Insights & Analytics Enablement

• Lead initiatives to build intelligent insights and automated analysis workflows that improve efficiency and decision-making.
• Identify high-impact Finance Operations use cases and translate them into scalable analytical and decision-support solutions.

Financial Data Products, Datasets & Dashboards

• Partner with Finance Operations, Data, and other cross-functional teams to design, scale, and automate financial data products and dashboards.
• Lead the design of scalable datasets, analytical models, and dashboards that enable forecasting, performance tracking, and risk management.
• Design robust datasets and perform complex SQL queries across multiple systems to ensure data accuracy, usability, and scalability.

Hands-On Analysis, Storytelling & Cross-Functional Influence

• Lead complex analyses (e.g., revenue, cash flow, bad debt) to uncover drivers of performance and turn insights into measurable outcomes.
• Present insights to senior leadership and produce executive-level materials with clear, data-driven narratives.
• Influence cross-functional teams (Finance, Finance Operations, Sales, Data Engineering) by bringing structure to ambiguity and driving alignment.

Required Qualifications

• Bachelor’s degree in a quantitative or business field (e.g., Finance, Economics, Math, or related discipline).
• 2+ years of experience leading large-scale analytics initiatives or programs; SaaS and finance operations (order to cash) experience preferred.
• Proven experience building analytical or decision-support solutions (e.g., intelligent insights agents, automated analysis workflows).
• Strong SQL expertise, with the ability to design robust datasets and perform complex queries across multiple systems.
• Strong analytical depth and business acumen, with the ability to navigate ambiguity, uncover opportunities, and deliver clear, data-driven narratives.