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Junior Financial Analyst Python Jobs in Pittsburgh, PA

Junior Accountant

Pittsburgh, PA · On-site

$46K - $58K/yr

Works closely with Operations, Supply Chain, Sales, Finance and Management. Qualifications Required ... Strong attention to details, analytical skills, exceptional judgment, dependable, excellent ...

... focused on financial institutions throughout the Eastern United States. The Junior Sales ... Analyze sales data and pipeline metrics to identify areas for growth and improvement. * Compile and ...

Showing results 21-40

Junior Financial Analyst Python information

See Pittsburgh, PA salary details

$15

$27

$43

How much do junior financial analyst python jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for junior financial analyst python in Pittsburgh, PA is $27.08, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $29.42 per hour, depending on experience, location, and employer.

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 Pittsburgh, PA?

The most popular types of Financial Analyst Python jobs in Pittsburgh, PA are:

Ai Engineer-Python, LAG/LLM & Agentic Platform Development

System One

Pittsburgh, PA • On-site

Contractor

Re-posted 8 days ago


Job description

Senior Full Stack Engineer – AI/LLM Platform 5 days onsite Pittsburgh, PA / Farmers Branch, TX / Strongsville, OH / Birmingham, AL / Phoenix, AZ Contract to Hire JOB DESCRIPTION The Software Engineer Sr is responsible for designing, developing, and supporting scalable software solutions for Intelligent Automation initiatives leveraging AI technologies. This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal candidate will combine strong full-stack engineering capabilities with modern AI/ML system design experience to deliver intelligent, scalable, and data-aware applications. The role requires close collaboration with product managers, data scientists, business teams, and engineering partners to deliver enterprise-grade AI-powered solutions. Must Have • Ability to design fault-tolerant production systems • Agile development experience • APIs and API platform engineering • Large Language Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented Generation (RAG) • Strong experience building production-grade services using Python and/or Java • Experience integrating LLMs or AI services into enterprise applications • Experience designing and operating API-based platforms • Systems design and engineering expertise Nice To Have • Experience with relational databases • Java • Jira • Microsoft Office Key Responsibilities AI Platform Engineering • Design and develop scalable AI-powered applications using Python and modern software engineering practices • Build and support Agentic AI platform capabilities for enterprise internal users • Integrate Large Language Models (LLMs) and AI services into enterprise applications • Develop Retrieval-Augmented Generation (RAG) pipelines and intelligent data-aware systems • Implement scalable API-based services and AI integration platforms • Design resilient and fault-tolerant distributed systems for production environments Software Development & Engineering • Modify existing software to correct errors, improve performance, and upgrade functionality • Design and develop software systems using scientific analysis and engineering best practices • Create scalable backend services and APIs supporting enterprise platforms • Support full software development lifecycle activities including analysis, development, testing, deployment, and support • Troubleshoot system issues and implement production improvements as needed • Develop and execute software testing and validation procedures Systems Design & Architecture • Design secure, scalable, and maintainable enterprise solutions • Build production-grade services capable of supporting enterprise-scale workloads • Define system integrations and API communication patterns • Collaborate with engineering teams to establish technical specifications and performance requirements • Support operational excellence, monitoring, and continuous improvement initiatives Cross-Functional Collaboration • Work closely with product managers, data scientists, designers, QA teams, and business partners • Participate in Agile ceremonies and engineering planning activities • Communicate technical solutions effectively across technical and non-technical teams • Support enterprise initiatives impacting organization-wide AI adoption and automation Preferred / Flex Skills • Java development experience • Experience with relational databases and SQL • Familiarity with Jira and Agile project tracking tools • Exposure to enterprise AI/ML platforms and intelligent automation solutions • Financial Services or Banking industry experience preferred Soft Skills • Strong written and verbal communication skills • Excellent problem-solving and analytical abilities • Ability to work independently and collaboratively within teams • Strong time management and multitasking capabilities • Adaptability in fast-paced enterprise environments Education • Bachelor’s Degree in Computer Science, Engineering, or related field preferred • Equivalent work experience will be considered #M1 #DI-CB2 #L1 - KB1

Ref: #404-IT Pittsburgh


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US