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Remote Data Analyst Jobs in Milwaukee, WI (NOW HIRING)

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible ... Hybrid and remote options available for this role. Responsibilities : * Design, develop, and ...

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

... support analytics and business intelligence initiatives. The ideal candidate will have a deep ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Showing results 1-20

Remote Data Analyst information

See Milwaukee, WI salary details

$33.5K

$81.4K

$134K

How much do remote data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for remote data analyst in Milwaukee, WI is $81,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

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.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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 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 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.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

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 most commonly searched types of Data Analyst jobs in Milwaukee, WI? The most popular types of Data Analyst jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Remote Data Analyst jobs? Cities near Milwaukee, WI with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Milwaukee, WI as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $81,421 per year, or $39.1 per hour.

Sr. Data Analyst

Carroll University

Waukesha, WI • On-site, Remote

$86K - $108K/yr

Other

Re-posted 27 days ago


Job 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:

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Mathematics, Statistics, or related field.

5+ years of experience in data analytics, business intelligence, institutional research, or related analytics roles.

Experience working in higher education environments, desired.

Strong experience with SQL and relational databases.

Strong analytical, problem-solving, and communication skills.

Ability to explain technical concepts and analytics insights to non-technical audiences.

Experience supporting institutional effectiveness, enrollment analytics, student success, or operational reporting initiatives.

Technical Skills:

Experience developing dashboards and reports using Power BI, Tableau, or similar BI tools.

Experience working with enterprise applications such as ERP, SIS, CRM, or HRIS systems.

Familiarity with Ellucian, Anthology, Workday, Salesforce, or similar higher education platforms.

Experience with data warehousing, ETL/integration processes, or cloud analytics platforms.

Knowledge of data governance, compliance, and privacy practices.

Exposure to predictive analytics, AI, or machine learning concepts.

Human Relations Skills:

Ability to work effectively with people regardless of their age, gender, race, sexual orientation,ethnicity, religion, ability, socio-economic background, or job type.

Effective interpersonal and communication skills with the ability to collaborate across teams and contribute to problem-solving efforts.

Clear and professional written and verbal communication skills suited for both technical and non-technical audiences.

Strong commitment to delivering responsive and respectful customer service.

Ability to stay focused, organized, and productive when working under deadlines or during periods of high activity.

Adaptable and able to manage shifting priorities in a dynamic work environment.

Skilled in managing multiple assignments and projects simultaneously with minimal oversight.

Equally comfortable working independently or as part of a collaborative team.

Demonstrated ability to build and maintain positive working relationships with a wide range of colleagues and stakeholders.

Candidates must be willing and able to support and advance the University mission.

Compliance:

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