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Remote Data Analyst Python Jobs in Green Bay, WI

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

Claims Analyst

Menasha, WI ยท Remote

$19.25/hr

Enter claim data into appropriate repricing systems and apply internal or external discount ... remote position. Application Deadline This position is anticipated to close on Aug 31, 2026. About ...

General Counsel - Remote

Green Bay, WI ยท Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Corporate Counsel - Remote

Green Bay, WI ยท Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Commercial Counsel - Remote

Green Bay, WI ยท Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

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Remote Data Analyst Python information

See Green Bay, WI salary details

$33.1K

$80.4K

$132.3K

How much do remote data analyst python jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data analyst python in Green Bay, WI is $80,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analyst python?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What job categories do people searching Remote Data Analyst Python jobs in Green Bay, WI look for?

The top searched job categories for Remote Data Analyst Python jobs in Green Bay, WI are:

Infographic showing various Remote Data Analyst Python job openings in Green Bay, WI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,381 per year, or $38.6 per hour.

Marketing Data Analyst

Capital Credit Union

Green Bay, WI โ€ข On-site, Remote

Full-time

Posted 5 days ago


Job description

Position Purpose

Upholds the Credit Unionโ€™s mission of โ€œWe do the right thing one member, one employee, and one experience at a time to strengthen the communities we serveโ€ by providing objective, data-driven analysis of marketing strategies, campaigns, channels, and investments to improve decision-making and maximize business impact.

The Marketing Data Analyst is an important role within the Data Services department partnering closely with Marketing and other areas of the Credit Union. This role serves as the subject matter expert for marketing analytics and measurement, using member, transactional, campaign, digital, and other available data to determine what is working, what is not, and where opportunities exist.

This role goes beyond reporting marketing activity by evaluating the effectiveness and business impact of marketing efforts. The Marketing Data Analyst is expected to exercise independent analytical judgment, challenge assumptions when appropriate, and clearly communicate conclusions based on evidence โ€” including when findings differ from expectations or established perspectives.

Essential Responsibilities

  • Marketing Performance & Measurement: Own the measurement of marketing campaigns, channels, and investments, including KPIs, attribution, ROI, acquisition, conversion, and other business outcomes.
  • Insights & Recommendations: Analyze member, transactional, campaign, digital, and behavioral data to explain performance and identify opportunities, including connecting marketing engagement (e.g., opens, clicks, and views) with application, product, and transactional data to understand downstream behavior, conversion, and business impact.
  • Testing & Experimentation: Design and evaluate A/B tests, control groups, and other approaches to determine the incremental impact of marketing efforts.
  • Member & Audience Analytics: Use segmentation, cohort, funnel, acquisition, retention, and behavioral analysis to improve targeting and understand member response.
  • Analytical Partnership: Serve as Data Servicesโ€™ primary analytical partner to Marketing, translating business questions into analytical approaches while maintaining independent judgment and professionally challenging conclusions that are not supported by the data.
  • Communication & Storytelling: Present clear, actionable findings to Marketing and leadership, distinguishing between what the data demonstrates, suggests, and cannot establish.
  • Reporting & Visualization: Develop dashboards, scorecards, and recurring reporting that provide meaningful visibility into marketing performance and business impact.
  • Data Quality & Continuous Improvement: Partner with Data Services and Marketing to improve data quality, metric definitions, measurement methodologies, and overall marketing analytics capabilities.

Necessary Experience and Qualifications

  • Bachelorโ€™s degree in Marketing, Business, Analytics, Finance, Mathematics, Statistics, or a related field, or equivalent combination of education and relevant experience.
  • At least five years of experience in marketing analytics, marketing measurement, customer analytics, or a closely related role.
  • Demonstrated experience analyzing customer or member, transactional, campaign, and behavioral data to measure marketing effectiveness, explain performance, and develop actionable insights and recommendations.
  • Advanced experience writing and optimizing SQL queries, preferably in Snowflake and Oracle.
  • Experience with business intelligence and data visualization tools such as PowerBI.
  • Demonstrated ability to manage and prioritize multiple requests in a fast-paced environment.
  • Strong communication skills (written and verbal) with the ability to translate complex analytical findings into clear insights and recommendations for a diverse credit union audience.
  • Demonstrated ability to exercise independent analytical judgment, professionally challenge assumptions, and confidently communicate conclusions supported by data.
  • Experience in financial services or credit unions and an understanding of member, product, and transactional data is preferred.

Work Environment and Physical Requirements

  • Office environment with moderate level of noise
  • Frequent use of telephone, copier, computer, fax machine and other office machines
  • Prolonged sitting or standing
  • Frequent mental and visual concentration
  • Minimal lifting of up to 25 pounds

NOTE: This job has the potential to periodically work remotely contingent upon supervisor approval but is not a work from home eligible position. When working remotely it is necessary to follow our Remote Work / Work from Home Policy.

The above statements are intended to describe the general nature and level of the work being performed in this position. They are not intended to be construed as an exhaustive list of all responsibilities, duties, or requirements.

Capital Credit Union is an Equal Opportunity Employer. We participate in E-Verify. Click the Learn more about Capital Credit Union link below for more information, as well as information on employee rights under the Family Medical Leave Act and the Employee Polygraph Protection Act.ย