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Data Analytics Jobs in Milwaukee, WI (NOW HIRING)

Sr. Data Analyst

Waukesha, WI ยท On-site

$86K - $108K/yr

Translate complex business requirements into meaningful analytics and reporting solutions. * Support institutional data governance initiatives, including data quality, integrity, stewardship, and ...

Data and Analytics Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

Sunrise Systems, Inc. is seeking a Senior Data & Analytics Engineer to join their IT Data & Analytics Team. This role focuses on building and maintaining scalable data solutions, collaborating with ...

Key Responsibilities 1) Data & Analytics * Develop and maintain dashboards and reports across functions and areas of the business * Work with ERP and operational data to build clean, reliable ...

The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data ...

The Senior Analytics and Platform Analyst will play an important role in driving data-driven decision-making and digital enablement across the organization. You are responsible for delivering ...

Data Analyst

Oconomowoc, WI ยท On-site +1

The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning ...

The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning ...

The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning ...

Reporting & Analytics Enablement * Partner with reporting and analytics teams to ensure master data is fit-for-purpose for ERP reporting and BI solutions. * Support the design of master data ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Showing results 21-40

Data Analytics information

See Milwaukee, WI salary details

$24

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analytics in Milwaukee, WI is $53.80, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $60.96 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Milwaukee, WI? The most popular types of Data Analytics jobs in Milwaukee, WI are:
What job categories do people searching Data Analytics jobs in Milwaukee, WI look for? The top searched job categories for Data Analytics jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Data Analytics jobs? Cities near Milwaukee, WI with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Milwaukee, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% Hybrid, and 50% Remote job distribution, with an average salary of $111,898 per year, or $53.8 per hour.

Sr. Data Analyst

Carroll University

Waukesha, WI โ€ข On-site

$86K - $108K/yr

Full-time

Re-posted 6 days ago


Job description

Description
t Carroll University, we are committed to identifying and employing strategies to support our goal to be and remain a socially just organization. Rooted in the Presbyterian (U.S.A.) heritage, we respect all aspects of diversity, embrace the practice of equity, expect inclusion, and embrace belonging throughout our community. Therefore, we seek applicants who can demonstrate their understanding of justice and who can inspire our increasingly diverse student population.
The Senior Data Analyst is a strategic and technical role within Information Technology responsible for advancing the institution's data analytics, reporting, and decision-support capabilities. This position partners closely with academic and administrative departments to analyze data, develop actionable insights, improve data quality, and support data-informed decision-making across the institution. The Senior Data Analyst designs and develops enterprise reporting solutions, dashboards, data models, and analytics frameworks while helping establish data governance standards and best practices. This role serves as a bridge between business stakeholders and technical teams to ensure institutional data is accurate, accessible, secure, and aligned with strategic goals. The position requires strong analytical, communication, and problem-solving skills, along with experience working with ERP systems, data visualization tools, SQL, and modern analytics platforms in a collaborative higher education environment.
Hybrid and remote options available for this role.
Responsibilities:
  • Design, develop, and maintain enterprise dashboards, reports, and data visualizations for academic and administrative departments.
  • Translate complex business requirements into meaningful analytics and reporting solutions.
  • Support institutional data governance initiatives, including data quality, integrity, stewardship, and standardization efforts.
  • Partner with stakeholders to establish consistent reporting definitions, business rules, and data standards.
  • Assist in maintaining enterprise data models, data dictionaries, and metadata documentation.
  • Promote responsible and secure use of institutional data in alignment with compliance and privacy requirements.
  • Assist departments seeking to improve operational effectiveness through data insights.
  • Assist with prioritizing analytics initiatives.
  • Work with enterprise systems including ERP/SIS, CRM, HRIS, LMS, and other institutional applications to support data integration and reporting.
  • Develop and optimize SQL queries, data pipelines, and automated reporting processes.
  • Support analytics and business intelligence platforms such as Power BI, or similar tools.
  • Assist in evaluating emerging analytics, AI, and data technologies that improve institutional effectiveness.
  • Identify opportunities to improve reporting efficiency, automation, and data accessibility.
  • Participate in cross-functional IT and institutional projects related to data, reporting, and process improvement.
  • Complete other duties as assigned.

Qualifications:
Education and/or Experience:
โ€ข Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Mathematics, Statistics, or related field.
โ€ข 5+ years of experience in data analytics, business intelligence, institutional research, or related analytics roles.
โ€ข Experience working in higher education environments, desired.
โ€ข Strong experience with SQL and relational databases.
โ€ข Strong analytical, problem-solving, and communication skills.
โ€ข Ability to explain technical concepts and analytics insights to non-technical audiences.
โ€ข Experience supporting institutional effectiveness, enrollment analytics, student success, or operational reporting initiatives.
Technical Skills:
โ€ข Experience developing dashboards and reports using Power BI, Tableau, or similar BI tools.
โ€ข Experience working with enterprise applications such as ERP, SIS, CRM, or HRIS systems.
โ€ข Familiarity with Ellucian, Anthology, Workday, Salesforce, or similar higher education platforms.
โ€ข Experience with data warehousing, ETL/integration processes, or cloud analytics platforms.
โ€ข Knowledge of data governance, compliance, and privacy practices.
โ€ข Exposure to predictive analytics, AI, or machine learning concepts.
Human Relations Skills:
โ€ข Ability to work effectively with people regardless of their age, gender, race, sexual orientation, ethnicity, religion, ability, socio-economic background, or job type.
โ€ข Effective interpersonal and communication skills with the ability to collaborate across teams and contribute to problem-solving efforts.
โ€ข Clear and professional written and verbal communication skills suited for both technical and non-technical audiences.
โ€ข Strong commitment to delivering responsive and respectful customer service.
โ€ข Ability to stay focused, organized, and productive when working under deadlines or during periods of high activity.
โ€ข Adaptable and able to manage shifting priorities in a dynamic work environment.
โ€ข Skilled in managing multiple assignments and projects simultaneously with minimal oversight.
โ€ข Equally comfortable working independently or as part of a collaborative team.
โ€ข Demonstrated ability to build and maintain positive working relationships with a wide range of colleagues and stakeholders.
โ€ข Candidates must be willing and able to support and advance the University mission.
Compliance:
โ€ข Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at the Department of Public Safety, at 239 North East Ave., Waukesha, WI 5318
Requirements
Please submit a cover letter and resume for this position along with this electronic application.
Carroll University makes employment opportunities available to qualified individuals whose skills and experience make them suitable candidates for placement. Candidates must be willing and able to support and advance the University mission.
Carroll University does not discriminate in any manner contrary to law or justice on the basis of race, color, sex, age, religion, sexual orientation, national origin, disability or veteran's status in administration of programs or in the employment of faculty and staff.
The employment opportunities list is updated periodically based on openings. Applications will be accepted only for vacancies currently listed. All inquiries will be kept strictly confidential.