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Financial Analyst Amazon Jobs in Ohio (NOW HIRING)

Amazon

TOL3 - Maintenance Manager

Perrysburg, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will blend strategic planning, financial management, and leadership development while ... analysis Amazon is an equal opportunity employer and does not discriminate on the basis of ...

Amazon

Controls Engineer, Amazon Data Services, Inc

Dublin, OH · On-site

$80K - $104K/yr

Key job responsibilities Troubleshoot and perform Root Cause Analysis or Corrective Action for BMS ... Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data ...

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All JobsFinancial Analyst Amazon JobsFinancial Analyst Amazon Jobs in Ohio

Financial Analyst Amazon information

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$36.6K

$83.8K

$112.2K

How much do financial analyst amazon jobs pay per year?

As of Aug 16, 2026, the average yearly pay for financial analyst amazon in Ohio is $83,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $105,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a financial analyst at Amazon?

To thrive as a Financial Analyst at Amazon, you need strong analytical skills, proficiency in financial modeling, and a solid understanding of accounting and finance principles, often supported by a degree in finance, accounting, or a related field. Familiarity with advanced Excel functions, SQL, and financial planning systems like Oracle or Hyperion is typically required, as well as relevant certifications such as CFA or CPA. Outstanding attention to detail, problem-solving abilities, and effective communication help you collaborate with cross-functional teams and present actionable insights. These skills and qualities are essential for driving data-driven decisions and supporting Amazon’s fast-paced, growth-oriented business environment.

How does a financial analyst at Amazon typically collaborate with other teams to drive business decisions?

As a Financial Analyst at Amazon, collaboration with cross-functional teams such as operations, supply chain, and product management is a core part of the role. Analysts often partner with business leaders to provide financial insights, forecast performance, and evaluate the financial impact of various projects. This requires strong communication skills and the ability to translate complex data into actionable recommendations. Regular meetings, data-sharing platforms, and joint project planning are common methods of collaboration, ensuring alignment on business goals and strategies.

What is the difference between Financial Analyst Amazon vs Financial Analyst Walmart?

AspectFinancial Analyst AmazonFinancial Analyst Walmart
Required CredentialsBachelor's degree in Finance, Accounting, or related field; often preferred to have certifications like CFA or CPABachelor's degree in Finance, Accounting, or related field; certifications like CFA or CPA are advantageous
Work EnvironmentFast-paced, tech-driven, with a focus on e-commerce and logisticsRetail-focused, with emphasis on brick-and-mortar and supply chain management
Employer & Industry UsagePrimarily in e-commerce, technology, and logistics sectorsPrimarily in retail, wholesale, and supply chain sectors

While both roles require similar financial analysis skills and certifications, Amazon's Financial Analysts focus on e-commerce and logistics, whereas Walmart's Financial Analysts concentrate on retail operations. The work environments differ, with Amazon being more tech and logistics-oriented, and Walmart emphasizing retail and supply chain management.

Does Amazon hire financial analysts?

Yes, Amazon hires financial analysts to support various business functions such as budgeting, forecasting, and financial reporting. These roles typically require strong analytical skills, proficiency with tools like Excel and financial modeling, and relevant experience or certifications. Financial analysts at Amazon contribute to data-driven decision-making within the company's diverse operations.

What does a financial analyst at Amazon do?

A financial analyst at Amazon analyzes financial data to support business decision-making, prepares reports, forecasts revenue and expenses, and monitors financial performance. They often use tools like Excel and financial modeling skills to evaluate company performance and identify opportunities for cost savings or revenue growth.

What are the most commonly searched types of Financial Analyst Amazon jobs in Ohio?

The most popular types of Financial Analyst Amazon jobs in Ohio are:

What are popular job titles related to Financial Analyst Amazon jobs in Ohio?

For Financial Analyst Amazon jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Financial Analyst Amazon jobs in Ohio look for?

The top searched job categories for Financial Analyst Amazon jobs in Ohio are:

What cities in Ohio are hiring for Financial Analyst Amazon jobs?

Cities in Ohio with the most Financial Analyst Amazon job openings:

Financial Analyst Amazon jobs near you
Infographic showing various Financial Analyst Amazon job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $83,766 per year, or $40.3 per hour.

Senior Associate, Decision Science - Finance Analytics

JPMorgan Chase & Co.

Columbus, OH • On-site

$80K - $100K/yr

Full-time

Medical, Retirement

Posted 11 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description


Join a collaborative team of product, analytics, and engineering experts building models and tools that improve strategic finance decisions. You will work on high-impact problems, partner closely with stakeholders, and help turn data into measurable outcomes. This is an opportunity to grow your analytics and machine learning skills while delivering capabilities used across the business.
As a Quantitative Analytics Senior Associate at JPMorganChase within the Finance Decision Optimization team, you will support the end-to-end model development lifecycle-from exploratory analysis to model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements and prototype solutions, partner closely with modeling and technology teams, and deliver analytics that drive measurable business outcomes in a fast-paced environment. You will develop a strong understanding of how finance teams use data and models to make decisions, and you will help ensure solutions perform as intended in production.
Job responsibilities
  • Drive business outcomes and decision-making through data and analytics by using enterprise data to inform modeling approaches, understand behavioral patterns, and perform sensitivity analysis
  • Develop deep knowledge of supported business areas to deliver pragmatic, effective solutions
  • Translate business needs into technical requirements and collaborate with technology teams to deliver capabilities end-to-end
  • Partner with end users and data product owners during user acceptance testing and perform testing to ensure delivered functionality meets requirements
  • Partner with quantitative modeling teams to develop and refine statistical models, continuously evaluating performance and effectiveness
  • Validate that production results comply with business requirements and expected outcomes, and support ongoing monitoring and verification of production processes
  • Translate business requirements into prototype solutions for new requests and enhancements
  • Design, develop, and optimize complex SQL queries and Python scripts to support data validation, exploration, and integration with existing systems and codebases
  • Manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • 3+ years of experience at a financial institution or consulting firm in corporate finance, banking, treasury, data analytics, or quantitative modeling
  • Strong analytical skills with demonstrated ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy
  • Experience with statistical and experimental techniques such as controlled testing (A/B testing)
  • Proficiency in analytics and programming tools to drive business outcomes, including SQL and Python
  • Strong problem-solving, critical thinking, communication, and organizational skills, with the ability to articulate options and results to senior stakeholders
  • Ability to collaborate effectively with technical partners (including data engineering and quantitative modeling) and translate data into concise, actionable recommendations

Preferred qualifications, capabilities, and skills
  • Experience supporting large-scale data projects
  • Proficiency with additional analytics tools such as SAS, R, or similar
  • Experience with Databricks, Streamlit, and Amazon Web Services cloud environments
  • Experience driving adoption of artificial intelligence and machine learning solutions, including stakeholder enablement and change management

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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