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Python Finance Jobs in Minnesota (NOW HIRING)

Sr. Data Analyst

Shakopee, MN · On-site

$91K - $116K/yr

Python, SQL, Excel, they want someone experienced working with ERP systems and quilting or order ... Experience identifying and quantifying financial or operational leakage. Preferred (Nice to Have)

New

Overview: Role Name: DataRobot, Jupyter, Python Role Description 10+ years exp; experience in financial services analytics; personalization & audience segmentation; deployment & scaling analytics ...

Python, SQL, Excel, they want someone experienced working with ERP systems and quilting or order ... Experience identifying and quantifying financial or operational leakage. Preferred (Nice to Have)

New

... Python) for data mining - Demonstrated ability to perform under pressure in a fast-paced ... financial analysis, forecasting, and planning - Ability to analyze data and communicate the ...

Senior Financial Analyst

Minneapolis, MN · On-site

$76K - $110K/yr

Bachelor's degree in accounting, finance or economics with a minimum of 2 years relevant work ... Experience with SQL and/or statistical programming languages (Python, R, etc.) * Experience working ...

Senior Financial Analyst

Minneapolis, MN · On-site

$76K - $110K/yr

Bachelor's degree in accounting, finance or economics with a minimum of 2 years relevant work ... Experience with SQL and/or statistical programming languages (Python, R, etc.) > * Experience ...

Senior Financial Analyst

Minneapolis, MN · On-site

$76K - $110K/yr

Bachelor's degree in accounting, finance or economics with a minimum of 2 years relevant work ... Experience with SQL and/or statistical programming languages (Python, R, etc.) * Experience working ...

Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We ... Python, SQL), data query tools to build test, evaluate, organize and analyze large, diverse and ...

Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We ... Python, SQL), data query tools to build test, evaluate, organize and analyze large, diverse and ...

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Python Finance information

See Minnesota salary details

$12

$57

$84

How much do python finance jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for python finance in Minnesota is $57.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Finance professional, and why are they important?

Success in Python Finance requires strong programming skills in Python, a solid grasp of financial concepts, and often a degree in finance, mathematics, or computer science. Familiarity with technical tools like pandas, NumPy, SQL databases, and financial modeling libraries is typically expected, as well as experience with version control and sometimes certifications like CFA or FRM. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for efficiently analyzing financial data, automating processes, and delivering insights that drive smart financial decision-making.

How do Python Finance professionals typically collaborate with other departments within a financial organization?

Python Finance professionals often work closely with teams such as data analytics, risk management, trading, and IT. Collaboration usually involves developing or maintaining automated financial models, integrating data pipelines, and supporting real-time analytics. Clear communication is essential, as you may need to translate complex technical concepts into actionable insights for non-technical stakeholders. This cross-functional teamwork not only enhances project outcomes but also provides opportunities to broaden your understanding of the business and financial processes.

What is a Python Finance professional?

A Python Finance professional is someone who uses the Python programming language to analyze financial data, build financial models, automate trading systems, and perform quantitative analysis. These professionals often work in roles such as quantitative analysts, data scientists, or software developers within finance-related industries. They leverage Python’s powerful libraries like Pandas, NumPy, and scikit-learn to handle large datasets and perform complex financial computations. Their work helps financial institutions make data-driven decisions, improve efficiency, and gain insights into market trends.

What is the difference between Python Finance vs Quantitative Analyst?

AspectPython FinanceQuantitative Analyst
Required CredentialsProficiency in Python, finance knowledge, possibly some certificationsAdvanced degrees (e.g., MSc, PhD), quantitative skills, certifications like CFA
Work EnvironmentFinancial firms, tech companies, trading firmsInvestment banks, hedge funds, asset management
Industry UsageData analysis, algorithmic trading, risk modelingModel development, risk assessment, trading strategies

Python Finance professionals focus on coding and data analysis within financial contexts, often requiring programming skills and finance knowledge. Quantitative Analysts typically have advanced degrees and focus on developing complex models for trading and risk management. While both roles work in finance, Python Finance emphasizes programming, whereas Quantitative Analysts emphasize mathematical modeling.

What are popular job titles related to Python Finance jobs in Minnesota? For Python Finance jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Python Finance jobs in Minnesota look for? The top searched job categories for Python Finance jobs in Minnesota are:
Infographic showing various Python Finance job openings in Minnesota as of May 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $119,422 per year, or $57.4 per hour.
Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)

Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)

Target

Minneapolis, MN • On-site

$98K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted just now


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,812 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $98,000.00 - $176,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN US AS A SR OPERATION RESEARCH SCIENTIST - SUPPLY CHAIN NETWORK OPTIMIZATION

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

About this opportunity:

Do you want to shape the future Supply Chain and Logistics strategy for a fortune 50 company and one of America's leading Retailer? Do you want to optimize Target's Global Supply Chain end to end, from sourcing to delivery of packages to guest? Are you excited at the prospect of analyzing large data sets and developing complex algorithms, simulation and optimization models to solve real world problems? Then this may be the ideal career opportunity for you!

The Supply Chain Network Optimization (SCNO) team is a global team integrated in the Operations Planning and Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, Transportation, Multi Echelon Inventory, Last-Mile and Process Optimization) to enable the best guest experience and profitable growth for Target.

As a Sr Operation Research Scientist in SCNO, you will be studying the complex problems in supply chain, understanding the business well and develop cutting-edge solutions. The role requires you to have strong working experience with large data sets, strong programming skills (Python/R) and foundational understanding of probability theory, machine learning and Monte Carlo simulations. Extensive knowledge of statistics, operations research and discrete event simulation is ideal as well.

As a Senior Operations Research Scientist you will:

  • Know your business and understand supply chain operational metrics and cost of end to end operations of supply chain.
  • Analyze large amounts of supply chain data at the most granular level and develop key metrics to evaluate the performance and optimization opportunities for supply chain across sales, transportation, operations and inventory.
  • Perform root cause analysis to understand key drivers related to operational performance and variance in the projected outcomes.
  • Utilize operations research methodologies (linear programming, stochastic processes, simulation) to solve complex business problems.
  • Collaborate with cross-functional teams including software engineers, applied data scientists and business stakeholders to gather inputs assumptions and understand business process along the way.
  • Interpret results from the models and provide insights to the leadership team.
  • Develop a clear inferences with data to influence decision making with Sr leaders.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About You:

  • PhD or MS in Operations Research, Industrial Engineering, Computer Science, Data Science, Applied Mathematics, Physics or equivalent work experience
  • 3+ years of industry experience in supply chain optimization, simulation and probability statistics or equivalent domain experience
  • Demonstrated programming experience using Python or R as well as advanced SQL querying skillset
  • Proven experience in data pipeline building in the Hadoop ecosystem (PySpark)
  • Extensive knowledge of supply chain concepts such as forecasting, inventory planning, optimization and logistics
  • Knowledge of statistics and data mining techniques/tools to analyze and derive insights from historical sales data and simulation or experiment results
  • Deep passion for problem solving, empirical research and continuous improvement
  • Excellent communication skill with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
  • Self-driven and results oriented - able to meet tight timelines
  • Motivated, team player with ability to collaborate effectively across global team

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.


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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US