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Python Data Analyst Jobs in Minnesota (NOW HIRING)

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · On-site

$121K - $176K/yr

Proficient in SQL and Python for data analysis, transformation, and pipeline development. HOW WE INVEST IN YOU * Competitive pay * 100% employer paid HDHP insurance premiums for employees * 401(k) ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · Hybrid

$121K - $176K/yr

Proficient in SQL and Python for data analysis, transformation, and pipeline development. HOW WE INVEST IN YOU * Competitive pay * 100% employer paid HDHP insurance premiums for employees * 401(k) ...

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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.
More about Python Data Analyst jobs

What are the most commonly searched types of Python Data Analyst jobs in Minnesota?

The most popular types of Python Data Analyst jobs in Minnesota are:

What are popular job titles related to Python Data Analyst jobs in Minnesota?

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

Royal Bank of Canada

Minneapolis, MN • On-site

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Job Description
What is the opportunity?
As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet Mall, MN location. You will support decision making in the Wealth Management business and translate complex data into actionable insights. This is a unique opportunity to be able to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics and programing skills to assist leaders in making critical decisions for their business.
If you have excellent communication, innovative thinking, attention to detail, and are looking for the next step in your career, we want to hear from you!
What will you do?
  • Engage and build relationships with banking and lending partners on major projects or initiatives, ensuring clear expectations on deliverables and timelines, understanding business priorities, and consulting on comprehensive analytics solutions and success criteria.
  • Collaborate with business partners to define and interpret business needs, design and document business requirements, apply best practices to negotiate deliverables, execute the requirements and perform required quality control processes to ensure highest quality.
  • Provide end-to-end analytics support, oversight and guidance for analytical initiatives including best practice design principles, approach recommendations, proper governance approaches and effective presentation methodologies in a fast-paced and rapidly changing environment.
  • Partner with data engineers, product partners and business leaders to identify meaningful opportunities to add value to the business utilizing statistics, advanced analytics and compelling visualizations.
  • Continually look for new ways to develop tools and information that help the business to measure and improve its processes and drive value for RBC clients and shareholders.
  • Analyze structured and unstructured datasets to solve complex business problems and tailor solutions that are scalable, verifiable and best fit the user's requirements.
  • Thorough design and development iteration, agile and documentation, review mission goals and ensure that final reporting and analytical solutions match client needs
  • Ensure adherence to governance, compliance, and data quality standards

What do you need to succeed?
Must-have
  • Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field
  • Five or more years of professional experience in data engineering, analytics and reporting, or related role
  • Hands-on experience managing and analyzing data in financial services (e.g. financial services KPIs, UHNW analytics, marketing, fixed income, advisory etc.)
  • Strong analysis skills, primarily investigating and explaining trends and variances using statistical techniques.
  • Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python, SQL, SAS and ETC).
  • Ability to prioritize and execute on multiple tasks as well as adjust to changing priorities and work effectively in a collaborative team environment.
  • Proven ability to present and communicate complex, technical materials in a way that facilitates decision making and drives outcomes to non-technical partners.

Nice-to-have
  • A self-starter with high energy and a driven curiosity to go beyond the obvious and provide ideas for innovation.
  • Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services.
  • Experience building and using AI/ML models, predictive analytics or statistical modeling to solve business problems.
  • Hands-on experience with Tableau, Power BI, Snowflake, Alteryx or similar tools.

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 including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • 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
  • Flexible work/life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business

For Minnesota the good-faith expected salary range for the above position is $70,000 - $130,000 depending on factors including but not limited to the candidate's experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.
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
#LI-POST
Job Skills
Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents
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:
2026-05-22
Application Deadline:
2026-08-31
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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