1

Senior Python Data Analysis Jobs in Minnesota (NOW HIRING)

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on ... Python or R * Knowledge of forecasting models including statistical analysis * Advanced data ...

The role involves leading advanced analytic efforts, conducting end-to-end data science activities ... Python and R • Expertise in data visualization tools and applications, including Power BI and ...

Sr Data Analyst

Brooklyn Park, MN · On-site

$88K - $158K/yr

In this role, you will leverage querying, statistical analysis, visualization, and automation to ... SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, PowerBI, Google Analytics and/or equivalent ...

Data Analyst Senior

Bloomington, MN · On-site

$86.40K - $109K/yr

The Senior Data Analyst will be a part of a scrum-like team of other analysts and engineers ... Proficiency in Python, R, or similar programming languages * Strong analytical thinking and problem ...

Data Analyst Senior

Bloomington, MN · On-site

$44.72 - $67.08/hr

The Senior Data Analyst will be a part of a scrum-like team of other analysts and engineers ... Proficiency in Python, R, or similar programming languages * Strong analytical thinking and problem ...

Data Analyst Senior

Bloomington, MN

$86.40K - $109K/yr

The Senior Data Analyst will be a part of a scrum-like team of other analysts and engineers ... Proficiency in Python, R, or similar programming languages * Strong analytical thinking and problem ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Strong analysis skills, primarily investigating and explaining trends and variances using ... R, Python, SQL, SAS and ETC). * Ability to prioritize and execute on multiple tasks as well as ...

Python experience for data profiling or analysis * Experience working with columnar or lakehouse ... Apply today and take the next step in your career as a Senior Data Modeler (Snowflake) with ...

Python experience for data profiling or analysis * Experience working with columnar or lakehouse ... Apply today and take the next step in your career as a Senior Data Modeler (Snowflake) with ...

Python experience for data profiling or analysis * Experience working with columnar or lakehouse ... Apply today and take the next step in your career as a Senior Data Modeler (Snowflake) with ...

Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ... Must to have Hands on programming Python and pyspark Big dataTech Worked on Big Data Technology ...

Senior Data Analyst

Saint Paul, MN · On-site

$86.70K - $109.40K/yr

Perform advanced exploratory data analysis using strong SQL skills, validating hypotheses ... Experience analyzing data leveraging SQL, Python for data models in GCP (BigQuery, BigTable ...

Lead Data Engineer

Saint Paul, MN · Hybrid

$115.40K - $138.60K/yr

Partner strategically with senior stakeholders to define complex reporting needs, deliver high ... Show advanced proficiency in programming languages such as Python or R for complex data analysis ...

Proactive analysis of data regarding quality issues (data profiling, deduplication, etc ... Strong knowledge in writing SQL queries and python * Strong understanding on 'SPSS Modeler' ETL ...

Lead Data Engineer

Eagan, MN · On-site

$116.80K - $140.20K/yr

Partner strategically with senior stakeholders to define complex reporting needs, deliver high ... Show advanced proficiency in programming languages such as Python or R for complex data analysis ...

Lead Data Engineer

Eagan, MN · Hybrid

$116.80K - $140.20K/yr

Partner strategically with senior stakeholders to define complex reporting needs, deliver high ... Show advanced proficiency in programming languages such as Python or R for complex data analysis ...

Lead Data Engineer

Eagan, MN · Hybrid

$116.80K - $140.20K/yr

Partner strategically with senior stakeholders to define complex reporting needs, deliver high ... Show advanced proficiency in programming languages such as Python or R for complex data analysis ...

next page

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 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 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 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:
Sr Data Analyst

Sr Data Analyst

Target Brands, Inc.

Minneapolis, MN • On-site

$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,797 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $88,000.00 - $158,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may 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.
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.
A role in Target's Food Supply Chain is a chance to truly serve our guests with speed, freshness and quality. We strengthen the efficiency of product delivery and partner across Target's Global Supply Chain to provide the highest quality food products to our guests-on time, every time. Here, your role might be extracting business insights from data, solving problem statements, conducting gap analysis and recommending focus areas for leadership. Or you'll be an inventory management resource whose specialized point of view informs what we buy, from whom, how much and where it needs to go from there. You'll leverage inventory positioning to achieve the best possible product availability, and establish and develop great relationships with our vendors to encourage on-time delivery. Or join our team in a food distribution center where you're on the very front lines of getting product to the guest as fast as possible-a critical differentiator that keeps Target guests coming back for more.
This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on accelerating next-generation data capabilities to unlock scalable, profitable growth across Target's food supply chain initiatives. The position operates at the intersection of business strategy and advanced analytics, partnering cross-functionally to frame high-impact problems and translate them into data-driven solutions.
You will architect and deploy end-to-end analytical approaches-spanning data acquisition, modeling, validation, and interpretation-leveraging modern methodologies and tools. Insights will be synthesized into compelling narratives and delivered to senior stakeholders to inform strategic decision-making. The role also involves designing intuitive, high-performance dashboards and reporting ecosystems grounded in best-in-class data visualization principles, enabling real-time, actionable intelligence. Additionally, you will establish robust documentation standards for analytical frameworks and continuously evolve your toolkit by staying at the forefront of emerging trends in data science, machine learning, and visualization technologies.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
  • Four-year degree or equivalent experience
  • 3+ years as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience
  • Advanced SQL experience writing complex queries
  • Strong experience navigating and integrating data across large-scale warehouse environments (e.g., BigRed3, GCP/BigQuery), with an understanding of data architecture, performance tuning, and scalability
  • Intermediately accomplished with Python or R
  • Knowledge of forecasting models including statistical analysis
  • Advanced data visualization skills; building interactive, executive ready dashboards in tools like Power BI, Looker, Tableau, etc.
  • Solid problem solving, analytical skills, data curiosity, data mining, data creation and consolidation
  • Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations
  • Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results
  • Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them
  • Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

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.

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Target logo

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