Senior Financial Analyst, Operations Finance in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Financial Analyst, Operations Finance based in the United States.

This role plays a critical part in shaping the financial performance and operational efficiency of a fast-growing, data-driven service business operating in the renewable energy space. You will partner closely with operations leaders to analyze gross margin performance, field service costs, and performance-based liabilities that directly impact business outcomes. The position is highly analytical and hands-on, requiring deep engagement with operational datasets to uncover cost drivers, improve forecasting accuracy, and support strategic decision-making. You will also help bridge finance, accounting, and operations by ensuring data integrity and aligning financial results with real-world execution. This is a high-impact role suited for someone who thrives in complex, fast-paced environments and enjoys solving problems at the intersection of finance and operations. Your insights will directly influence profitability, scalability, and long-term business performance.

• Own monthly gross margin analysis across field services, hardware, and performance-based payouts, ensuring accurate and timely reporting.
• Investigate forecast vs. actual variances and identify root causes behind operational and financial performance shifts.
• Build and maintain driver-based financial models, including reserves, liability forecasting, and sensitivity analyses to assess risk exposure.
• Partner with Operations leaders to analyze technician productivity, vendor costs, and service delivery economics.
• Develop and track operational KPIs that directly influence margin performance and business efficiency.
• Support Board-level and Quarterly Business Review materials with clear, data-driven financial insights and recommendations.
• Ensure alignment between operational systems (e.g., Salesforce and field tools) and financial reporting outputs.
• Collaborate with Accounting to ensure accurate recording of job costs, recoveries, and performance reserves.
• Improve financial reporting processes, data quality, and analytical frameworks to support business scale.
• Perform ad hoc financial and operational analyses across revenue and operating expenses as needed.

• 5+ years of experience in FP&A, corporate finance, investment banking, or transaction services (Big 4 experience a plus).
• Advanced Excel skills with strong experience building driver-based and scenario financial models.
• Proven experience analyzing margins, unit economics, cost-to-serve, or project-based profitability.
• Familiarity with ERP/CRM systems such as NetSuite, Salesforce, or similar platforms.
• Experience working with large, complex datasets and resolving inconsistencies across systems.
• Strong analytical mindset with the ability to move between detailed data work and high-level business insights.
• Excellent communication skills with the ability to explain financial concepts to operational stakeholders.
• Experience with data visualization tools such as Tableau or Power BI is highly desirable.
• Exposure to renewable energy, field services, logistics, or subscription/performance-based models is a plus.

• Competitive salary ranging from $85,000 to $145,000, with a midpoint of $115,000 depending on experience
• Annual performance bonus eligibility after 90 days
• Equity stock options to participate in long-term company growth
• 100% employer-paid health insurance premiums for employees and 50% coverage for dependents
• Dental, vision, disability, and comprehensive medical coverage
• 401(k) plan with employer contribution and retirement support
• Paid time off, parental leave (12 weeks), and sabbatical leave after four years
• Annual learning and development stipend of up to $500
• Flexible remote-first work environment with optional in-person gatherings
• Inclusive, mission-driven culture focused on sustainability, collaboration, and continuous learning