1

Junior Financial Analyst Python Jobs in Ohio (NOW HIRING)

Senior FP&A Analyst

Cleveland, OH · On-site

$82K - $103K/yr

Provides complex analysis and accurate and timely financial information. Generates management ... junior staff members relative to the relevant system. Medical Mutual is looking to grow our team!

Write and maintain Python and SQL code to support data processing and transformation * Assist with ... Basic understanding of data concepts (data analysis, data engineering, or data modeling) * Exposure ...

Junior Data Analyst

Columbus, OH · On-site

$60 - $80/hr

SUMMARY We're looking for a proactive and insightful Junior Data Analyst to join our Analytics team ... Some exposure to basic coding/scripting (SQL, Python) is a plus * Basic understanding of ETL ...

Analyst / Associate

Greenwich, OH · On-site

$80 - $100/hr

Gramercy Ltd, an affiliate, is registered with the UK Financial Conduct Authority (FCA). Description We are looking for a full‑time Senior Analyst / Junior Associate to join Gramercy's Capital ...

Decision Support Sr. Analyst

Dayton, OH · On-site

$71K - $119K/yr

This individual contributor partners closely with finance, content, legal, and commercial teams to ... Python knowledge a plus Strong communication skills and attention to detail AI Fluency U.S.

Decision Support Sr. Analyst

Dayton, OH · On-site

$71K - $119K/yr

This individual contributor partners closely with finance, content, legal, and commercial teams to ... Python knowledge a plus Strong communication skills and attention to detail AI Fluency U.S.

Analyze key financial metrics, including billed charges, allowed amounts, units, and utilization ... Utilize SQL, Python, and business intelligence tools to analyze large, complex healthcare datasets.

Financial Systems Analyst

Amelia, OH · Hybrid

$73K - $100K/yr

Experience using Microsoft products and other data analytical tools or financial applications, such as Alteryx, Oracle Database, SQL, Power BI, Databricks, Oracle Fusion, Python, or similar programs.

Showing results 41-60

Junior Financial Analyst Python information

What does a junior financial analyst with Python skills do?

A Junior Financial Analyst with Python skills is responsible for supporting financial planning, analysis, and reporting by using Python to automate data collection, clean datasets, and perform financial modeling. They assist senior analysts with forecasting, budgeting, and generating reports, leveraging Python code to increase efficiency and accuracy. This role often involves working with large datasets, creating visualizations, and interpreting financial data to help inform business decisions. Strong analytical skills, attention to detail, and the ability to communicate findings are essential in this position.

What are the key skills and qualifications needed to thrive as a junior financial analyst with Python, and why are they important?

To thrive as a Junior Financial Analyst Python, you need a solid understanding of finance, basic accounting principles, and proficiency in Python programming, typically supported by a relevant degree such as finance, economics, or computer science. Familiarity with financial modeling tools, Excel, SQL databases, and data visualization libraries like pandas and matplotlib is often required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present insights clearly. These skills are crucial for accurately analyzing financial data, automating tasks, and supporting informed business decisions.

How does a junior financial analyst who uses Python typically collaborate with other teams within a company?

As a Junior Financial Analyst with Python skills, you will often work closely with finance, accounting, and IT teams. Your main responsibilities may include automating data collection, preparing financial reports, and building analytical models, which require frequent communication to understand data sources and business requirements. Collaboration is essential for ensuring that analytical tools and dashboards meet the needs of stakeholders and that financial insights are accurately conveyed. You may also participate in meetings to discuss project goals, share findings, and provide technical support to colleagues who may not be familiar with Python or data analysis techniques.

What is the difference between Junior Financial Analyst Python vs Junior Data Analyst?

AspectJunior Financial Analyst PythonJunior Data Analyst
Required SkillsFinancial analysis, Python programming, ExcelData analysis, SQL, Excel, basic programming
Work EnvironmentFinance departments, investment firmsBusiness, marketing, tech companies
CertificationsFinancial certifications (e.g., CFA, CPA) often preferredData analysis certifications (e.g., Microsoft Excel, SQL)
Industry UsageFinance, banking, investmentTech, marketing, healthcare

While both roles involve data handling and analysis, Junior Financial Analyst Python focuses on financial data and Python skills within finance environments, whereas Junior Data Analyst has a broader scope across industries with emphasis on data tools and SQL. The choice depends on your industry interest and technical skill focus.

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

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

What cities in Ohio are hiring for Junior Financial Analyst Python jobs?

Cities in Ohio with the most Junior Financial Analyst Python job openings:

Infographic showing various Junior Financial Analyst Python job openings in Ohio as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Senior Associate, Decision Science - Finance Analytics

Columbus, OH

JPMorgan Chase & Co
Finance and Insurance • 10K+ employees

$80K - $100K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago


Key responsibilities

  • Support the end-to-end model development lifecycle, including exploratory analysis, model testing, and performance monitoring.

  • Translate business needs into technical requirements, collaborate with technology teams, and deliver analytics that drive business outcomes.

  • Develop and optimize SQL queries and Python scripts to support data validation, exploration, and system integration.


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 176 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

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

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.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom