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Python Data Analyst Jobs in Minnesota (NOW HIRING)

Target

Sr Data Analyst - FP&A Reporting & Analytics

Minneapolis, MN · Hybrid

$88K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Intermediately accomplished with Python or R * Knowledge of forecasting models including statistical analysis * Advanced data visualization skills; building interactive, executive ready dashboards in ...

US Bank

Senior Data Product Analyst

Minneapolis, MN

$89K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working knowledge of analytics and statistical tools such as SQL, Python, Excel, and cloud ... Experience with data visualization tools is a plus * Demonstrated project management and ...

U.S. Bank

Senior Data Product Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working knowledge of analytics and statistical tools such as SQL, Python, Excel, and cloud ... Experience with data visualization tools is a plus * Demonstrated project management and ...

U.S. Bank

Senior Data Product Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working knowledge of analytics and statistical tools such as SQL, Python, Excel, and cloud ... Experience with data visualization tools is a plus * Demonstrated project management and ...

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Showing results 41-60

All JobsPython Data Analyst JobsPython Data Analyst Jobs in Minnesota

Python Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do python data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for python data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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For Python Data Analyst jobs in Minnesota, the most frequently searched job titles are:

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The top searched job categories for Python Data Analyst jobs in Minnesota are:

Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Senior Data Analyst - Investment Insight

Royal Bank of Canada

Minneapolis, MN • On-site

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

Job Description
What is the opportunity?
As a Senior Data Analyst focused on Investment Insight's for RBC's U.S. Global Asset Management business you will have the opportunity to act as a strategic bridge between our North American investment teams and global data capabilities, championing data excellence and technology adoption across our US offices. This role will combine deep investment data knowledge with technical and process improvement expertise to drive sustainable transformation in how investment data is accessed, utilized, and leveraged for decision-making. Acting as both advocate and translator, you will help transform investment team challenges into actionable data solutions while establishing best practices.
What will you do?
  • Work with the investment desk and Data Insight team to identify opportunities for improving existing and creating new processes, tools, and services that support investment operations
  • Execute and implement opportunities identified above using all available tools and technologies as needed
  • Contribute thought leadership on how technology can multiply investment team effectiveness
  • Build business cases for strategic data initiatives based on direct investment stakeholder feedback
  • Explore and implement AI-driven productivity enhancements for investment data workflows
  • Champion adoption of existing self-service data applications and tools, including Portfolio Insight (PI), Tableau, Python, and emerging AI tools across North American investment teams
  • Deliver training, guidance, and hands-on support to investment professionals, building their confidence and capability with data tools
  • Review, document, and enhance data processes for US Fixed Income Funds and US offices, creating comprehensive process documentation where gaps exist, including technical specifications where further enhancements are required
  • Identify repetitive, manual processes suitable for automation, implementing solutions directly or working with IT/PMO where appropriate
  • Break down silos between US and EMEA offices by facilitating clear communication on data standards, processes, and capabilities
  • Translate technical data concepts for investment audiences and investment requirements for data teams
  • Take ownership of underlying data sets used in North American Client Reporting processes
  • Work with investment desks and business teams to collate data from internal systems for client data requests

What do you need to succeed?
Must-have
  • Bachelor's degree preferably with a focus in finance, economics or business
  • 2-5 years of investment management data & reporting experience, preferably with experience with fixed income funds
  • Experience leveraging Python and/or SQL for data management/extraction
  • Able to work independently with remote management structure

Nice-to-have
Experience developing dashboards leveraging data visualization tools such as Tableau or Power BI
What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
  • A comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off.
  • Leaders who support your development through coaching and managing opportunities.
  • Ability to make a difference and lasting impact.
  • Work in a dynamic, collaborative, progressive, and high-performing team.
  • Opportunities to do challenging work.
  • Opportunities to build close relationships with clients.

The expected salary range for this particular position is $70,000-$130,000, depending on your experience, skills, and registration status, market conditions and business needs.
You have the potential to earn more through RBC's discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.
RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:
  • Drives RBC's high-performance culture
  • Enables collective achievement of our strategic goals
  • Generates sustainable shareholder returns and above market shareholder value

Job Skills
Critical Thinking, Data Administration, Database Structures, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Information Capture, Standard Operating Procedure (SOP), Teamwork
Additional Job Details
Address:
250 NICOLLET MALL:MINNEAPOLIS
City:
Minneapolis
Country:
United States of America
Work hours/week:
40
Employment Type:
Full time
Platform:
WEALTH MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-07-13
Application Deadline:
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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