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Junior Financial Analyst Python Jobs in Novi, MI

Socket.dev

Junior AI/ML Engineer

Auburn Hills, MI · On-site

Run and document model validation, evaluation, and error analysis under senior guidance * Build ... Write clean, maintainable, and testable code (primarily Python), responding constructively to code ...

Deloitte

Finance Analytics & AI Senior Consultant

Detroit, MI · On-site

$115K/yr

Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning ... financial planning, forecasting, and analytics capabilities. By combining next-generation processes ...

Tenneco

Senior Manager, Corporate FP&A

Northville, MI · On-site

$102K - $139K/yr

Perform advanced financial and operational analysis to explain performance drivers, identify risks ... Demonstrated ability to manage complex workstreams, coach junior team members, and collaborate ...

Tenneco

Senior Manager, Corporate FP&A

Northville, MI · On-site

$103K - $141K/yr

Financial Analysis, Business Insights, and Project Support * Perform advanced financial and ... Demonstrated ability to manage complex workstreams, coach junior team members, and collaborate ...

Tenneco

Senior Manager, Corporate FP&A

Northville, MI · On-site

$102K - $139K/yr

Perform advanced financial and operational analysis to explain performance drivers, identify risks ... Demonstrated ability to manage complex workstreams, coach junior team members, and collaborate ...

Technomics, Inc.

Data Analyst

Troy, MI · On-site

... mix of junior and mid-level analysts. Our employee-owners pride themselves on their ability to ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Technomics

Data Analyst

Troy, MI

... mix of junior and mid-level analysts. Our employee-owners pride themselves on their ability to ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

GM Financial

Senior Marketing Analyst

Detroit, MI · Hybrid

$101K - $125K/yr

GM Financial is targeting significant growth as it transforms the Protection/Insurance Products ... Python, and SQL * Knowledge of testing methodologies and types of analyses used in marketing ...

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Junior Financial Analyst Python information

See Novi, MI salary details

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

As of Sep 14, 2026, the average hourly pay for junior financial analyst python in Novi, MI is $26.17, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $28.41 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.

Junior Financial Analyst Python jobs near you
Infographic showing various Junior Financial Analyst Python job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $54,436 per year, or $26.2 per hour.

Junior AI/ML Engineer

Auburn Hills, MI • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 7 days ago

Job description

Role Summary:

The Junior AI/ML Engineer contributes to the design, build, and delivery of end-to-end AI/ML solutions under the guidance of senior engineers. This role is engineering-first, applying data science and machine learning as tools within well-engineered software systems.

Engineers at this level focus on well-defined implementation tasks within a larger solution, learning the full lifecycle — design, development, validation, and production handoff — through pairing, code review, and structured mentoring.

AI & ML Development:

  • Implement ML models and components against established designs, using structured, time-series, and unstructured data

  • Run and document model validation, evaluation, and error analysis under senior guidance

  • Build familiarity with the team's AI/ML techniques and how they are applied to engineering, quality, and product use cases

Software & Systems Engineering:

  • Contribute production-quality code to AI systems, including:

  • Data pipelines and feature engineering

  • Model training and inference services

  • Components of agentic solutions combining LLM and other systems

  • Write clean, maintainable, and testable code (primarily Python), responding constructively to code review

  • Use the team's shared AI/ML components and engineering frameworks

Delivery & Execution:

  • Deliver well-scoped implementation tasks reliably, escalating blockers early

  • Participate in requirement clarification and solution iteration with the team

  • Support preparation of solutions for operationalization in partnership with MLOps teams

Growth Expectations:

  • Progress toward independent ownership of implementation tasks end-to-end

  • Develop breadth across data, modeling, and software concerns

  • Actively seek and apply feedback from senior engineers

Qualifications Basic Qualifications:
  • Bachelor's degree in engineering, computer science, applied mathematics, or a related field
  • A minimum of 1 year of experience

  • Solid software engineering fundamentals

  • Exposure to machine learning through coursework, internships, or projects

  • Proficiency in Python; familiarity with common ML libraries

  • Willingness to work across data, modeling, and software concerns

Preferred Qualifications:

  • Internship or project experience deploying ML in real systems

  • Exposure to cloud-based data or ML platforms

  • Interest in LLM-based and agentic solutions

  • Familiarity with software delivery practices (version control, CI, testing)

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