Mid Level Finance Operations Analyst Jobs
Mid level finance operations analyst jobs go to professionals ready to own end-to-end process workflows, drive reporting decisions with limited oversight, and guide junior team members through complex reconciliations. Openings cover 0% remote and hybrid arrangements across Retail, Manufacturing, and Technology & Software, with employers like Amazon, Nordson, and Applied Materials hiring at this level now.
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This position offers a unique opportunity to develop long-term financial models for Amazon's cost structure while working on logistics innovation. You'll have the chance to build, improve, and standardize processes and systems that impact business performance at scale, all while expanding your expertise in the world's most sophisticated supply chain operations.
Key job responsibilities
- Proactively dive deep to ensure reporting accuracy, regularly audit work from multiple teams, identify incomplete or inaccurate data, and partner on resolutions while insisting on the highest standards
- Process, manipulate, and analyze large datasets to extract meaningful insights that support decision-making across operations and finance stakeholders
- Build and maintain dynamic financial models to simulate different scenarios, predict outcomes, and provide data-driven recommendations to senior leaders
- Lead process improvement projects that scale controllership capabilities, implementing solutions to remediate control gaps and drive measurable results
- Research technical, operational, and financial details to develop deep business insights, understand key dependencies and performance indicators, and represent this perspective in cross-functional discussions
A day in the life
You'll start your day building AI-native workflows to automate financial reporting and improve data accuracy. As a true business partner, you'll collaborate with operations teams to understand how their activities impact overall business performance, then translate those insights into financial models and executive-ready analyses. Throughout the day, you'll process large datasets to identify trends and anomalies, partnering with stakeholders to resolve discrepancies. You'll also dedicate time to simplifying and standardizing finance processes, creating scalable solutions that drive efficiency across the organization.
About the team
Join a highly collaborative team that thrives on curiosity and continuous learning. Our team sits at the forefront of innovation, exploring how AI and emerging technologies can transform financial planning and analysis. We're deeply engaged in understanding new logistics processes and their financial implications, constantly seeking ways to improve how we support the business.
We foster an inclusive environment where team members actively share knowledge, mentor one another, and contribute to Finance community initiatives. As part of this team, you'll have the opportunity to develop expertise across multiple areas of finance while working on projects that directly influence strategic decisions at the highest levels of the organization.
BASIC QUALIFICATIONS
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
- 3+ years of tax, finance or a related analytical field experience
- 3+ years of dissecting financial data and identifying patterns that support business strategy experience
- 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
PREFERRED QUALIFICATIONS
- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- MBA, or CPA
- Knowledge of Tableau
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 73,600.00 - 128,800.00 USD annually
DESCRIPTION
This position offers a unique opportunity to develop long-term financial models for Amazon's cost structure while working on logistics innovation. You'll have the chance to build, improve, and standardize processes and systems that impact business performance at scale, all while expanding your expertise in the world's most sophisticated supply chain operations.
Key job responsibilities
- Proactively dive deep to ensure reporting accuracy, regularly audit work from multiple teams, identify incomplete or inaccurate data, and partner on resolutions while insisting on the highest standards
- Process, manipulate, and analyze large datasets to extract meaningful insights that support decision-making across operations and finance stakeholders
- Build and maintain dynamic financial models to simulate different scenarios, predict outcomes, and provide data-driven recommendations to senior leaders
- Lead process improvement projects that scale controllership capabilities, implementing solutions to remediate control gaps and drive measurable results
- Research technical, operational, and financial details to develop deep business insights, understand key dependencies and performance indicators, and represent this perspective in cross-functional discussions
A day in the life
You'll start your day building AI-native workflows to automate financial reporting and improve data accuracy. As a true business partner, you'll collaborate with operations teams to understand how their activities impact overall business performance, then translate those insights into financial models and executive-ready analyses. Throughout the day, you'll process large datasets to identify trends and anomalies, partnering with stakeholders to resolve discrepancies. You'll also dedicate time to simplifying and standardizing finance processes, creating scalable solutions that drive efficiency across the organization.
About the team
Join a highly collaborative team that thrives on curiosity and continuous learning. Our team sits at the forefront of innovation, exploring how AI and emerging technologies can transform financial planning and analysis. We're deeply engaged in understanding new logistics processes and their financial implications, constantly seeking ways to improve how we support the business.
We foster an inclusive environment where team members actively share knowledge, mentor one another, and contribute to Finance community initiatives. As part of this team, you'll have the opportunity to develop expertise across multiple areas of finance while working on projects that directly influence strategic decisions at the highest levels of the organization.
BASIC QUALIFICATIONS
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
- 3+ years of tax, finance or a related analytical field experience
- 3+ years of dissecting financial data and identifying patterns that support business strategy experience
- 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
PREFERRED QUALIFICATIONS
- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- MBA, or CPA
- Knowledge of Tableau
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 73,600.00 - 128,800.00 USD annually
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Mid Level Finance Operations Analyst Jobs: Frequently Asked Questions
How do I get a mid level finance operations analyst job?
Position your experience around ownership, not just participation. Highlight projects where you led the process from start to finish, reduced error rates, or improved cycle times without heavy supervision. Tailor your resume to show familiarity with the tools and reporting frameworks the employer lists, and lead your cover letter with a specific operational problem you solved and its measurable outcome.
Which companies hire mid level finance operations analysts?
Companies hiring mid level finance operations analysts right now include Amazon, Nordson, and Applied Materials, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from mid-size to large organizations that need analysts who can run processes independently rather than under close supervision.
Are there remote mid level finance operations analyst jobs?
Yes, though availability varies by employer and industry. About 0% of mid level finance operations analyst openings are remote or hybrid as of November 2026, reflecting the role's reliance on systems and data rather than physical presence. Fully on-site roles remain common in banking, insurance, and highly regulated industries where process oversight is tighter.
How do I move up to a mid level finance operations analyst role?
Moving from entry level to mid level takes deliberate depth-building over your first few years. Focus on mastering at least one core operations domain, whether that is accounts payable reconciliation, cash flow reporting, or close processes, and then take on projects with cross-functional visibility. Demonstrating measurable impact, such as faster close times or fewer reconciliation errors, signals readiness for the ownership and reduced oversight that mid level roles require.
Which industries hire the most mid level finance operations analysts?
Mid Level finance operations analyst roles concentrate in Retail, Manufacturing, and Technology & Software, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because their transaction volumes, reporting cycles, and regulatory requirements create sustained demand for analysts who can run operations independently and improve process efficiency.