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

Location: Remote, with a preference for local candidates near Milwaukee for occasional onsite ... The Data Analyst III will work independently with various groups, leaders and enterprise ...

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 ...

Reimbursement Analyst

Milwaukee, WI · On-site +1

$33.05 - $49.60/hr

Fully Remote Role from these states: AL, AK, AR, AZ, DE, FL, GA, IA, ID, IL, IN, LA, KS, KY, ME, MI ... Acts as support for all system intermediary data requests, audits and exit conferences. * Assists ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Material Analyst

Cudahy, WI · On-site +1

$26 - $32/hr

Maintainaccurateplanning data inERPsystem. * Escalate supply risks that couldimpactproduction ... This role is based fully onsite, and not eligible for hybrid or remote work opportunities. Why Work ...

Analyst

Milwaukee, WI · On-site +1

$118K/yr

This position offers a flexible work arrangement (remote/hybrid) with time spent in the Milwaukee ... research, data analysis and resolve moderately complex problems End Date: 06/30/2026 Pay Range ...

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Showing results 1-20

Remote Data Analyst information

See Racine, WI salary details

$31.9K

$77.5K

$127.5K

How much do remote data analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote data analyst in Racine, WI is $77,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 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 Racine, WI? The most popular types of Data Analyst jobs in Racine, WI are:
What job categories do people searching Remote Data Analyst jobs in Racine, WI look for? The top searched job categories for Remote Data Analyst jobs in Racine, WI are:
What cities near Racine, WI are hiring for Remote Data Analyst jobs? Cities near Racine, WI with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Racine, WI as of June 2026, with employment types broken down into 47% Full Time, 45% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,490 per year, or $37.3 per hour.

Full-time

Medical, Retirement, PTO

Posted 3 days ago


Job description

At Planned Parenthood of Wisconsin, Inc. (PPWI), we work to provide quality, affordable health care services, comprehensive education, and strong advocacy. We serve over 50,000 patients annually in 18 health centers statewide, making us the largest and most trusted reproductive health care provider in Wisconsin. Our goal is to help keep Wisconsin safe, healthy and strong!
 
This is an excellent hybrid opportunity for a Data Analyst (40 hours/week) at our Administration Offices in Milwaukee, WI and remote.
 
As part of our comprehensive benefit package, we offer:
- Company contribution toward medical insurance deductible
- Generous Paid Time Off
- 12 Days of Holiday Pay
- Immediate 401(k) Vesting with up to 6% company contribution
- Paid Parental Leave
- Tuition Assistance
- Public Service Loan Forgiveness Program
 
PPWI's compensation philosophy is rooted in equity. Starting offers are determined by both the candidate's applicable experience and internal equity. The Data Analyst pay starts from $35.71 per hour.
 
Additional $1.50 per hour for bilingual (English/Spanish)
 
PURPOSE OF POSITION:
The Data Analyst will use strong analytical capabilities to drive financial and operational insights. This role will serve as a strategic partner to the CFO and senior leadership team-transforming complex data into actionable intelligence that informs business strategy, performance monitoring, and decision-making.
 
KNOWLEDGE, SKILLS, & ABILITIES:
- Must be committed to providing excellent customer service and support the vision and values of Planned Parenthood of WI.
- Commitment to diversity, equity, inclusion, and belonging. 
- Strong understanding of healthcare operations and financial concepts, including revenue cycle, payer mix, cost analysis, and performance metrics.
- Proven ability to synthesize complex data into meaningful insights for executive-level decision-making.
- Effective communication skills and experience translating technical data into accessible business narratives.
- Proven analytical and problem-solving abilities, with the ability to effectively prioritize and execute tasks in a high-pressure environment.
- Familiarity with data integration or ETL processes between Epic and external tools.
 
EDUCATION and/or EXPERIENCE:
- Associate's degree in information technology, Business Management, Data Analytics, Finance, or related field required.
- 3-5 years of experience in data analytics within a healthcare organization or health tech environment.
- An equivalent combination of education and experience from which comparable knowledge and abilities can be acquired may be considered. 
- Demonstrated experience working with Epic (Clarity, Caboodle, or similar reporting tools).
- Proficiency in SQL, Excel, and one or more BI/reporting tools (e.g., Power BI, Tableau, Smartsheet dashboards).
- Caboodle and Clarity Data Modeling certifications preferred.
 
PHYSICAL REQUIREMENTS:
The position is predominantly sedentary requiring the ability to sit, bend, stand and walk. May require occasional stooping, reaching, stair-climbing and repetitive motions of the hands and wrist related to writing and typing at an electronic keyboard. Rarely requires kneeling, pushing/pulling and repetitive motions of the feet.  
Physical demands of the position necessitate hearing, talking, handling and grasping regularly. May require lifting up to 30 pounds. Specific vision conditions include close vision reading. Requires the ability to operate a computer, telephone, and copy machine. 
 
WORKING CONDITIONS:
The position is generally performed in an office environment but involves frequent interruptions.  The noise level is generally low to quiet.  The work environment characteristics are representative of those an employee encounters while performing the essential functions of this position.  Reasonable accommodation, however, may be made to enable individuals with disabilities to perform said essential functions.
 
Occasional evenings and weekends may be necessary. 
ESSENTIAL DUTIES & RESPONSIBILITIES:
  • including but not limited to:
 
Data Reporting:
  • Design, build, and maintain dashboards and reports that integrate Epic data with financial and operational systems (e.g., SmartSheet, Power BI, or Tableau).
  • Collaborate with finance, operations, and clinical leadership to identify key performance indicators (KPIs) across patient care, revenue cycle, and resource utilization.
  • Support ongoing initiatives to enhance data automation, reporting efficiency, and real-time visibility into organizational performance.
 
Data Analysis
  • Extract, transform, and analyze large datasets from Epic to support monthly performance reviews, forecasting, and strategic planning.
  • Translate data findings into clear recommendations and presentations for non-technical stakeholders, including the CFO and board members.
  • Partner with IT and data governance teams to ensure data integrity, compliance, and alignment with HIPAA standards.
  • Identify opportunities to optimize clinical and administrative workflows through data insights.
 
Training:
  • Assist in the creation of targeted, prompt ad-hoc training to business users as needs arise; proactively integrate this knowledge into standard training materials
 
OTHER DUTIES and ABILITIES:
  • Perform additional related duties as assigned.
 
Any job offer will be contingent upon the results of a background investigation.
PPWI is an equal opportunity employer committed to diversity in the workplace.
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