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Python Finance Jobs in Minnesota (NOW HIRING)

Finance & Analytics Manager Company: Blue Ops Location: Chicago, IL or Minneapolis, MN WHO WORKS AT ... Experience in private equity owned companies and coding (e.g., DAX, SQL, Python) to manipulate data ...

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Finance & Analytics Manager Company: Blue Ops Location: Chicago, IL or Minneapolis, MN WHO WORKS AT ... Experience in private equity owned companies and coding (e.g., DAX, SQL, Python) to manipulate data ...

Finance & Analytics Manager Company: Blue Ops Location: Chicago, IL or Minneapolis, MN WHO WORKS AT ... Experience in private equity owned companies and coding (e.g., DAX, SQL, Python) to manipulate data ...

Finance & Analytics Manager Company: Blue Ops Location: Chicago, IL or Minneapolis, MN WHO WORKS AT ... Experience in private equity owned companies and coding (e.g., DAX, SQL, Python) to manipulate data ...

Financial Analyst

Eagan, MN · On-site

$75 - $110/hr

Required QualificationsBachelor's degree in Finance, Economics, Business, or a related field.Strong ... Preferred QualificationsExperience with Power BI, Tableau, SQL, Python, or similar analytical tools.

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Team Overview: Finance Technology within Core Retail Services powers the financial backbone of ... Programming experience with PySpark, Scala, Java, or Python * Experience with cloud platforms (AWS ...

Intern Data Analytics

Mankato, MN · On-site +1

$20 - $21/hr

Coursework or experience in data analytics, modeling, or financial analysis strongly preferred. * Proficiency in using PowerBI, Python, R, Microsoft Excel, AI tools, or other data analytics tools.

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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 Sep 4, 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 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.

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 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.

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:

Infographic showing various Python Finance job openings in Minnesota as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $119,422 per year, or $57.4 per hour.

Finance and Analytics Manager

EBM Software

Bloomington, MN • On-site

$109 - $171/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

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Job description

Position: Finance & Analytics Manager

Company: Blue Ops

Location: Chicago, IL or Minneapolis, MN

WHO WORKS AT BLUE OPS:

At Blue Ops, we’re building a team of high-impact operators who lead by example and develop the people around them. As a Finance & Analytics Manager, you’ll work alongside high-caliber peers who push you to grow sharper and faster, with the platform, tools, and team to make your impact felt.

THE ROLE

Blue Ops is hiring a Finance & Analytics Manager. This role is grounded in operational finance and accounting - budgeting, forecasting, and financial statement-level analysis - paired with analytics, data modeling, and process optimization, with opportunities to support client-facing engagements and build scalable reporting solutions.

The Finance & Analytics Manager will work on developing key finance business processes and analytical frameworks for clients across multiple industry sectors. This position will provide financial analysis, financial statement and operational reporting, modeling, reporting automation (e.g., Power BI), and business process support.

Experience in private equity owned companies and coding (e.g., DAX, SQL, Python) to manipulate data or automate tasks is a plus. While leadership experience is not required, the ability to operate cross-functionally and work independently is key.

RESPONSIBILITIES
  • Lead or support client projects from inception to completion
  • Develop project plans, timelines, and budgets in collaboration with clients
  • Design, advise, and support implementation of finance and analytics processes
  • Develop financial models to support strategic planning, budgeting, and forecasting
  • Analyze operational and financial data — including financial statements — to inform client decisions
  • Present findings and recommendations to clients
  • Build and maintain interactive dashboards (e.g., Power BI) for client reporting
  • Conduct data analysis using Excel and tools such as DAX, SQL, or Python to drive business insights
  • Monitor project progress, identify & mitigate risk and address project-related issues
  • Manage 1-2 direct reports
WHAT IT TAKES
  • Strong grounding in accounting and the three financial statements (P&L, balance sheet, cash flow)
  • Strong written and verbal communication across levels
  • Proficient in Excel, Power BI, and data storytelling
  • Comfort working across multiple projects of varying complexity
  • Ability to adapt in fast-paced or ambiguous environments
  • Experience managing timelines, deliverables, and cross-functional communication
  • Serve as the primary point of contact for clients, addressing their concerns and providing regular updates
  • Foster a collaborative and high-performing team environment, promoting professional growth and development and continuous improvement
  • Identify opportunities for additional client engagements and collaborate with business development teams to expand relationships
  • Hands-on experience with DAX, SQL and/or Python (a plus — not required)
WHAT YOUR RESUME SHOWS
  • 5–10 years of professional experience in operational finance, FP&A, or accounting
  • Experience with FP&A: budgeting, forecasting, variance analysis
  • Solid command of financial statements; month-end close, controllership, or public accounting exposure a plus
  • Undergraduate B.S. in Finance, Accounting, or related field (Accounting strongly preferred; CPA a plus)
  • Experience working with Private Equity Firms (e.g. directly or via Portfolio Company)
  • Experience building dashboards and working with Power BI
  • Experience in cross-functional or client-facing environments
  • Proficiency in Microsoft Excel and PowerPoint
  • SQL, DAX and/or Python proficiency a plus
THE PACKAGE

The base salary range for this position is $108,675-$153,725 in Minneapolis and Charlotte and $113,825-$170,940 in Chicago . Total compensation may also include variable compensation, i.e., annual bonus target and commission incentives. Individual pay will be determined based on factors such as skills, experience, and education. While the range listed reflects the target compensation for new hires, we may exercise flexibility to accommodate exceptional qualifications or circumstances.

In addition to a competitive pay program, we believe in supporting the health, wealth, and well-being of our team members and their families through a comprehensive benefits package. Our benefits include:

  • Medical, dental, and vision insurance
  • 401(k) retirement plan with company match
  • Paid time off and holidays
  • Life and disability insurance
  • Additional perks tailored to your needs
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