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Weekend Python Data Analyst Jobs in Minnesota (NOW HIRING)

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.) * Solid problem solving, analytical skills, data curiosity, data ...

UnitedHealth Group

Senior Data Analyst

Eden Prairie, MN · Remote

$87K - $110K/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 ...

UnitedHealth Group

Senior Data Analyst

Eden Prairie, MN · On-site

$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 ...

UnitedHealth Group

Senior Data Analyst

Eden Prairie, MN · On-site

$87K - $110K/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 ...

UnitedHealth Group

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 ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.) * Solid problem solving, analytical skills, data curiosity, data ...

3M

Technical Master Data Analyst

Maplewood, MN · On-site

... using Java, Python, APIs, and SQL. • Support data transformation, batch processing, and ... systems analysis, and communication skills. • Knowledge of MDM, customer master data, and data ...

3M

Technical Master Data Analyst

Maplewood, MN

Technical Master Data Analyst Collaborate with Innovative 3Mers Around the World Choosing where to ... Strong handson experience with Java, Python, APIs, SQL, and data transformation. Proven experience ...

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Weekend Python Data Analyst information

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

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 cities in Minnesota are hiring for Weekend Python Data Analyst jobs? Cities in Minnesota with the most Weekend Python Data Analyst job openings:
Weekend Python Data Analyst jobs near you
Sr Data Analyst - Crecera Brands

Sr Data Analyst - Crecera Brands

The Golf Warehouse

Minneapolis, MN • On-site

$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

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