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Senior Python Data Analysis Jobs in Minnesota (NOW HIRING)

Windquest

Sr Data Analyst - Crecera Brands

Minneapolis, MN · On-site

$75K - $110K/yr

Key Responsibilities • Data Analysis & Insights o Analyze large, structured datasets to identify ... Python and R o Develop KPIs and metrics to monitor performance and support business strategy • ...

Windquest

Sr Data Analyst - Crecera Brands

Minneapolis, MN · On-site

$75K - $110K/yr

Key Responsibilities • Data Analysis & Insights o Analyze large, structured datasets to identify ... Python and R o Develop KPIs and metrics to monitor performance and support business strategy • ...

Cliftonlarsonallen

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

... Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or ... Data Analysis: Participate in the collection and analysis of data using a variety of data tools.

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

They support all Properties strategic initiatives with data, reporting and analysis. Properties ... Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

They support all Properties strategic initiatives with data, reporting and analysis. Properties ... Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$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 ...

Target Brands, Inc.

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 ...

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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 are popular job titles related to Senior Python Data Analysis jobs in Minnesota? For Senior Python Data Analysis jobs in Minnesota, the most frequently searched job titles 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 Python Data Analysis jobs near you

Sr Data Analyst - Crecera Brands

Crecera Brands LLC

Minneapolis, MN

$75K - $110K/yr

Full-time

Posted 20 days ago

Job description

Sr. Data Analyst

Job Description

ABOUT THE COMPANY
Crecera Brands is the driving force behind Sportsman’s Guide, Salt Strong, The Golfer’s World, Play Baseball and Play Softball, five of America’s leading retailers of outdoor gear, sporting goods and golf supplies. For nearly 50 years, our companies have been dedicated to helping our customers enjoy the fun, freedom, and traditions of the great outdoors. From hunting and fishing to playing ball and hitting the links, the companies of Crecera Brands deliver the gear you need to succeed. Our websites include sportsmansguide.com, tgw.com, saltstrong.com, playbaseball.com and playsoftball.com.


Position Overview
We are seeking for a Senior Data Analyst to transform complex data into actionable insights that drive business within our golf, baseball and softball businesses. This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau, and Snowflake to support strategic and operational initiatives. The ideal candidate is a hands-on analyst who can work across stakeholders, build scalable data solutions, and communicate insights clearly to both technical and non-technical audiences.


Key Responsibilities

• Data Analysis & Insights
o Analyze large, structured datasets to identify trends, patterns, and opportunities
o Translate business questions into data-driven analyses and actionable recommendations
o Design and execute exploratory and statistical analyses using Python and R
o Develop KPIs and metrics to monitor performance and support business strategy

• Data Management & SQL
o Write complex, optimized SQL queries to extract, transform, and validate data
o Work with data warehouses (e.g., Snowflake) to manage and model data
o Ensure data quality, integrity, and consistency across systems

• Visualization & Reporting
o Build interactive dashboards and reports in Tableau (or similar BI tools)
o Provide clear storytelling through data to influence decision-making
o Automate reporting processes and improve accessibility of insights

• Stakeholder Collaboration
o Partner with cross-functional teams (e.g., Product, Finance, Marketing, Operations)
o Gather requirements and translate business needs into analytical solutions
o Present findings and recommendations to leadership

• Advanced Analytics & Continuous Improvement
o Develop predictive models or advanced analytics solutions where needed
o Identify opportunities to improve data processes, tools, and governance
o Mentor junior analysts and contribute to best practices


Required Qualifications
• Must be legally authorized to work in the United States without sponsorship for employment visa status (e.g., TN, H1B status)
• Bachelor’s degree in data analytics, statistics, computer science, economics, data science, or related field
• 4+ years of experience in data analytics or a related role
• Advanced proficiency in SQL, Python and/or R, Tableau or similar BI tools
• Strong experience working with data warehouses and large datasets
• Solid understanding of statistics, data modeling, and analytical methods
• Proven ability to communicate insights to business stakeholders
Preferred Qualifications
• Experience with modern data stacks (i.e. Snowflake etc.)
• Experience with Adobe Analytics or Google Analytics
• Exposure to A/B testing, machine learning, or predictive modeling
• Experience in a DTC e-commerce environment
• Experience mentoring or leading projects
Key Competencies
• Analytical problem-solving
• Business acumen
• Data storytelling & visualization
• Attention to detail
• Collaboration and influence

Compensation:
Base Salary: $75,000 - $110,000 depending on experience and qualifications