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Remote Data Jobs in Racine, WI (NOW HIRING)

Data Entry / Administrative Assistant - REMOTE Location (city, state): Gurnee, IL Industry: Aviation / Aerospace Pay: $25-30/hour (based on experience) Benefits: This position is eligible for medical ...

Data Entry / Administrative Assistant - REMOTE Location (city, state): Gurnee, IL Industry: Aviation / Aerospace Pay: $25-30/hour (based on experience) Benefits: This position is eligible for medical ...

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162K/yr

Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes * Facilitate group discussions and team ceremonies and develop a shared context

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Remote Data information

See Racine, WI salary details

$43.1K

$154.7K

$228.3K

How much do remote data jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote data in Racine, WI is $154,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $159,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

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 background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Racine, WI? The most popular types of Data jobs in Racine, WI are:
What cities near Racine, WI are hiring for Remote Data jobs? Cities near Racine, WI with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Racine, WI as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $154,734 per year, or $74.4 per hour.

Data Analyst

Planned Parenthood of Wisconsin, Inc.

Milwaukee, WI • On-site, Remote

Full-time

Posted 21 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.