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Freelance Python Data Analyst Jobs in Minnesota (NOW HIRING)

Sr. Data Analyst ABOUT THE COMPANY Crecera Brands is the driving force behind Sportsman's Guide ... This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau ...

Data Analyst 2

Eden Prairie, MN · On-site

$72K - $130K/yr

Experience working with data warehouse analysis and modelling, with the ability to read Data Flow ... Experience with a programming language, ideally Python * Experience with Agile project management ...

Data Analyst 2

Eden Prairie, MN · Remote

$72K - $130K/yr

Experience working with data warehouse analysis and modelling, with the ability to read Data Flow ... Experience with a programming language, ideally Python * Experience with Agile project management ...

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 ...

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 ...

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 ...

... 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 ...

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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Freelance Python Data Analyst information

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

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
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 Freelance Python Data Analyst jobs in Minnesota? For Freelance Python Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Minnesota look for? The top searched job categories for Freelance Python Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Freelance Python Data Analyst jobs? Cities in Minnesota with the most Freelance Python Data Analyst job openings:

Sr Data Analyst - Crecera Brands

Windquest

Minneapolis, MN • On-site

$75K - $110K/yr

Full-time

Posted 15 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
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.