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Senior Python Data Analysis Jobs in Minnesota (NOW HIRING)

Senior Data Analyst

Eden Prairie, MN · Remote

$91K - $163K/yr

As a Senior Data Analyst , you will play a critical role in transforming complex datasets into ... Knowledge of statistical analysis or basic machine learning techniques (e.g., Python, R, SAS) *All ...

Strong experience with data analysis tools, including Tableau, PowerBI, and Alteryx * Familiarity with the following technologies is beneficial: Python, SQL, SAP, and Business Objects #LI-ES1 What ...

Strong experience with data analysis tools, including Tableau, PowerBI, and Alteryx * Familiarity with the following technologies is beneficial: Python, SQL, SAP, and Business Objects #LI-ES1 What ...

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

Collaborate with cross-functional teams (analytics, product, engineering, business) to align data ... Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

Collaborate with crossfunctional teams (analytics, product, engineering, business) to align data ... Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... and analysis. * Establish naming conventions, documentation standards, data dictionaries, and ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... and analysis. * Establish naming conventions, documentation standards, data dictionaries, and ...

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... and analysis. * Establish naming conventions, documentation standards, data dictionaries, and ...

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Showing results 1-20

Senior Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Minnesota? The most popular types of Python Data Analysis jobs in Minnesota are:
What job categories do people searching Senior Python Data Analysis jobs in Minnesota look for? The top searched job categories for Senior Python Data Analysis jobs in Minnesota are:
Senior Lead Data Science Consultant

Senior Lead Data Science Consultant

Wells Fargo

Minneapolis, MN • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 694 frontline employees who took The Breakroom Quiz

72nd of 146 rated banks


Job description

About this role:

Wells Fargo is seeking a Senior Lead Data Science Consultant within our analytics team for Business Banking. This role will be responsible for developing and delivering advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing.

Learn more about our career areas and lines of business at wellsfargojobs.com


In this role, you will:

  • Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
  • Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
  • Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
  • Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
  • Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
  • Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
  • Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
  • Build executiveready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
  • Clearly communicate complex analytical concepts to nontechnical audiences using data storytelling and visualizations.
  • Respond to adhoc leadership requests with concise, highimpact analyses and recommendations.
  • Collaborate with crossfunctional partners (Analytics, Banking, Risk, Operations, Technology).
  • Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
  • Act as a trusted analytics advisor to stakeholders across the organization.

Required Qualifications:

  • 7+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science


Desired Qualifications:

  • Experience in banking, financial services, customer analytics, or coverage/placement models
  • Expertise in advanced analytics and data tools (e.g., SQL, Python, R, SAS) with hands-on experience in deep-dive analysis and data mining
  • Proficiency in data visualization and BI platforms (e.g., Power BI, Tableau, Alteryx) to develop interactive dashboards and reporting frameworks
  • Experience developing KPI frameworks, building business cases, and quantifying the financial impact of strategic initiatives
  • Familiarity with governance, risk, or compliance considerations in analytics.
  • Strong experience engaging executive stakeholders, including delivering clear, data-driven insights and recommendations to senior leadership
  • Strong analytical skillset, including experience with data analysis, modeling, and interpretation.
  • Experience working with structured datasets from enterprise data sources.
  • Strong business acumen with the ability to align analytics initiatives to enterprise goals, risk considerations, and regulatory/compliance needs
  • Ability to operate independently, navigate ambiguity and manage multiple priorities in a fastpaced environment.


Job Expectations:

  • Position offers a hybrid work schedule
  • This position is not eligible for Visa sponsorship
  • Relocation assistance is not available for this position

Locations:

  • 401 S. Tryon St. Charlotte, NC
  • 600 S 4th St Minneapolis, MN
  • 2700 S. Price Rd. Chandler, AZ

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$159,000.00 - $279,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

7 Jul 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


What Wells Fargo employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Wells Fargo logo

About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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