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Python Financial Jobs in Michigan (NOW HIRING)

Faurecia

Senior FP&A Analyst

Auburn Hills, MI · On-site

$80K - $100K/yr

Utilize tools such as SQL, Python, Palantir, Power BI, or similar to build scalable reporting and ... Provide financial visibility and insights to support decision-making across functions.

Faurecia

Senior FP&A Analyst

Auburn Hills, MI

$80K - $100K/yr

The role of a senior FP&A analyst is to support financial planning, consolidation, and performance ... Utilize tools such as SQL, Python, Palantir, Power BI, or similar to build scalable reporting and ...

Stellantis

Ontology Engineer

Auburn Hills, MI · On-site

... Python to support our enterprise analytics architecture. You will work across platforms such as ... Bachelor of Science degree in Business, Business Administration, Supply Chain Management, Finance ...

CFS

FP&A Operations Manager

Kentwood, MI · On-site

Power BI, Power Query, SQL, or Python are pluses #INMAY2026 #LI-MS4 #ZRCFS FP&A Operations Manager FP&A Operations Manager FP&A Operations Manager FP&A Operations Manager FP&A Operations Manager FP&A ...

Kiongroup

Sr Applied AI Engineer-Finance

Grand Rapids, MI · On-site

$113K - $174K/yr

Build and maintain ML models for financial planning, forecasting, trend analysis, and anomaly ... Strong experience building ML models using Python and common libraries (e.g., pandas, scikitlearn ...

Kiongroup

Sr Applied AI Engineer-Finance

Grand Rapids, MI · On-site

$113K - $174K/yr

Build and maintain ML models for financial planning, forecasting, trend analysis, and anomaly ... Strong experience building ML models using Python and common libraries (e.g., pandas, scikitlearn ...

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Python Financial information

What are some common projects or tasks Python Financial professionals work on in a typical week?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What is a Python Financial job?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What are the key skills and qualifications needed to thrive in the Python Financial position, and why are they important?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

What are the most commonly searched types of Python Financial jobs in Michigan? The most popular types of Python Financial jobs in Michigan are:
What are popular job titles related to Python Financial jobs in Michigan? For Python Financial jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Python Financial jobs in Michigan look for? The top searched job categories for Python Financial jobs in Michigan are:
Python Financial jobs near you
Senior FP&A Analyst

Senior FP&A Analyst

Faurecia

Auburn Hills, MI • On-site

$80K - $100K/yr

Full-time

Posted 4 days ago

Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Position Summary:
The role of a senior FP&A analyst is to support financial planning, consolidation, and performance management across North America region, including multiple manufacturing plants, R&D center, and headquarters functions in the U.S. and Mexico.
This role sits at the intersection of finance, operations, and data/analytics, playing a key role in consolidating regional financials, enhancing forecasting through automation and advanced analytics, and supporting strategic decision-making across functions including Operations, Sales, Purchasing, and R&D.
Responsibilities:
1. Regional Financial Planning & Analysis
  • Support the annual budget, quarterly forecasts, and long-range strategic planning processes for North America.
  • Partner with business leaders to understand key operational drivers (volume, pricing, material cost, labor, overhead) and translate them into financial projections.
  • Perform variance analysis (actual vs. plan/forecast/prior year) with clear insights and actionable recommendations.
  • Support ad hoc financial analysis related to cost optimization, margin improvement, and investment decisions.

2. Financial Consolidation (U.S. & Mexico Operations)
  • Consolidate financial results across multiple manufacturing sites, R&D center, and HQ functions, ensuring accuracy and timeliness.
  • Manage intercompany eliminations, multi-currency considerations, and alignment to corporate reporting standards.
  • Standardize data structures and reporting templates across sites.
  • Work closely with plant controllers and central finance teams to ensure consistency in reporting and assumptions.

3. Data Automation & Advanced Analytics
  • Develop and implement automated processes for financial data collection, consolidation, and reporting (reducing manual Excel-based work).
  • Utilize tools such as SQL, Python, Palantir, Power BI, or similar to build scalable reporting and dashboard solutions.
  • Support the application of AI/advanced analytics to improve forecast accuracy, identify trends, and enable predictive insights (e.g., cost drivers, demand patterns).
  • Collaborate with IT and data teams to improve data quality, integration (ERP systems), and governance.

4. Cross-Functional Business Partnering
  • Liaise with other central controllers and act as a finance partner to:
    • Operations: plant performance, cost control, efficiency initiatives
    • Sales: pricing, customer profitability, volume planning
    • Purchasing: material cost analysis, supplier impact
    • R&D: project tracking, investment evaluation
  • Provide financial visibility and insights to support decision-making across functions.
  • Communicate complex financial information clearly to non-finance stakeholders.

5. Strategic Modeling & Decision Support
  • Build and maintain financial models for:
  • Customer programs and product profitability
  • Capital investments and capacity expansion
  • Cost reduction and restructuring initiatives
  • Conduct scenario and sensitivity analyses to support strategic planning and risk management.

Commitment to the highest ethical standards and adherence to:
    • Faurecia Group Code of Ethics
    • Faurecia Group Code of Management
    • Faurecia Group Environmental Policy
    • Faurecia Group Quality Policy
  • All other duties as assigned by the company

Position Specifications:
Knowledge / Skills:
  • Strong financial modeling and Excel skills (advanced level required).
  • Experience with ERP systems (SAP, Oracle, or similar).
  • Proficiency in data and automation tools:
  • SQL, Python, or similar (preferred)
  • Power BI / Tableau or equivalent visualization tools
  • Exposure to AI-driven forecasting or analytics is a strong plus.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to manage large datasets and translate them into insights.
  • Effective communication and stakeholder management across functions and cultures.
  • Self-starter with continuous improvement mindset and adaptability in a traditional but evolving environment.
  • Ability to work in a fast-paced, deadline-driven manufacturing setting.

Education / Experience:
  • Bachelor's degree in Finance, Accounting, Economics, or related field (MBA/CPA/CMA preferred but not required).
  • Senior Analyst: 3-6 years of experience
  • Prior experience in a manufacturing environment, preferably automotive or industrial.
  • Experience working in multi-site and cross-border (U.S./Mexico) environments preferred.

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