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Data Analyst Jobs in Appleton, WI (NOW HIRING)

Data Analyst information

See Appleton, WI salary details

$33.2K

$80.6K

$132.7K

How much do data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst in Appleton, WI is $80,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,600.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

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

What job categories do people searching Data Analyst jobs in Appleton, WI look for?

The top searched job categories for Data Analyst jobs in Appleton, WI are:

What cities near Appleton, WI are hiring for Data Analyst jobs?

Cities near Appleton, WI with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Appleton, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,634 per year, or $38.8 per hour.

Marketing Data Analyst

Capital Credit Union

Green Bay, WI • On-site, Remote

Full-time

Posted 8 days ago


Key responsibilities

  • Own the measurement of marketing campaigns, channels, and investments, including KPIs, attribution, ROI, acquisition, and conversion.

  • Analyze member, transactional, campaign, digital, and behavioral data to explain performance and identify opportunities.

  • Design and evaluate A/B tests, control groups, and other approaches to determine the incremental impact of marketing efforts.


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.