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Remote Data Analyst Jobs in Green Bay, WI (NOW HIRING)

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 ...

New

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Claims Analyst

Menasha, WI · 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 ...

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

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 information

See Green Bay, WI salary details

$33.1K

$80.4K

$132.3K

How much do remote data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data analyst in Green Bay, WI is $80,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,400.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Green Bay, WI?

The most popular types of Data Analyst jobs in Green Bay, WI are:

What cities near Green Bay, WI are hiring for Remote Data Analyst jobs?

Cities near Green Bay, WI with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Green Bay, WI as of August 2026, with employment types broken down into 78% Full Time, 9% Part Time, and 13% Contract. Highlights an 3% In-person, and 97% Remote job distribution, with an average salary of $80,383 per year, or $38.6 per hour.

Marketing Data Analyst

Capital Credit Union

Green Bay, WI • On-site, Remote

Full-time

Posted 6 days ago


Job description

Position Purpose

Upholds the Credit Union’s mission of “We do the right thing one member, one employee, and one experience at a time to strengthen the communities we serve” 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 — 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 Services’ 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

  • Bachelor’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.