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Remote Lab Data Analyst Jobs in West Bend, WI (NOW HIRING)

Remote ½ day Fridays * Onsite Health & Wellness Center * Employer 401K contribution in the top 1% ... data and recommending improvements. * Administer additional benefit programs such as tuition ...

Remote ½ day Fridays * Onsite Health & Wellness Center * Employer 401K contribution in the top 1% ... data and recommending improvements. * Administer additional benefit programs such as tuition ...

Remote ½ day Fridays * Onsite Health & Wellness Center * Employer 401K contribution in the top 1% ... data and recommending improvements. * Administer additional benefit programs such as tuition ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Logic Apps, Azure Monitor/Log Analytics, Defender for Cloud, IoT suite, Advisor, etc ... Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB

Financial and other data collection, analysis, modeling, stakeholder engagement, presentation development and delivery to internal and external parties Core aptitudes include : Problem-solving and ...

Financial and other data collection, analysis, modeling, stakeholder engagement, presentation development and delivery to internal and external parties • Core aptitudes include : Problem-solving ...

Showing results 21-40

Remote Lab Data Analyst information

See West Bend, WI salary details

$10

$27

$48

How much do remote lab data analyst jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote lab data analyst in West Bend, WI is $27.77, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $33.03 per hour, depending on experience, location, and employer.

How does a remote lab data analyst typically collaborate with on-site laboratory staff and other remote team members?

A Remote Lab Data Analyst frequently communicates with on-site lab personnel and other remote colleagues through video meetings, collaborative platforms, and shared data systems. This close collaboration ensures data accuracy, timely reporting, and proper interpretation of lab results. Analysts often attend virtual team meetings to discuss findings, address challenges, and align on project goals. Effective communication and strong organizational skills are essential to bridge the gap between remote and in-person teams, making regular updates and clear documentation a key part of the role.

What are the key skills and qualifications needed to thrive as a remote lab data analyst?

To thrive as a Remote Lab Data Analyst, you need a strong background in statistics, data analysis, and laboratory science, often supported by a degree in a related field. Familiarity with data analysis tools like Excel, Python, R, and Laboratory Information Management Systems (LIMS) is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and share findings with remote teams. These skills ensure accurate data interpretation, reliable reporting, and seamless collaboration across distributed laboratory environments.

What is the difference between Remote Lab Data Analyst vs Remote Laboratory Technician?

AspectRemote Lab Data AnalystRemote Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certifications in data analysisAssociate's or Bachelor's in Laboratory Science or related field; technical certifications
Work EnvironmentPrimarily remote, analyzing digital data setsRemote or on-site, performing sample processing and testing
Industry UsageHealthcare, biotech, research institutionsClinical labs, research facilities, hospitals
Job FocusData analysis, reporting, data managementSample handling, testing, equipment operation

The Remote Lab Data Analyst and Remote Laboratory Technician roles share some overlap in scientific knowledge and industry context. However, the analyst focuses on interpreting data remotely, requiring strong analytical skills and data certifications, while the technician handles laboratory procedures and sample processing, often requiring technical lab certifications. Both roles are vital in research and healthcare sectors but differ in daily tasks and skill sets.

What is a remote lab data analyst?

A Remote Lab Data Analyst is a professional who collects, processes, and interprets laboratory data from a remote location. They use specialized software and analytical tools to ensure data accuracy and integrity, often working with scientific, medical, or industrial laboratories. Their role may include data validation, report generation, and collaboration with laboratory staff to improve data quality and support research or quality control objectives. Remote Lab Data Analysts typically require strong analytical skills, attention to detail, and proficiency with data management systems.

What cities near West Bend, WI are hiring for Remote Lab Data Analyst jobs?

Cities near West Bend, WI with the most Remote Lab Data Analyst job openings:

Data Warehouse Engineer

University of Wisconsin-Milwaukee

Milwaukee, WI • On-site, Remote

$85K - $93K/yr

Full-time

Re-posted 2 days ago


University Of Wisconsin-Milwaukee rating

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Company rating: 4.4 out of 10

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Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Position Title:
Data Warehouse Engineer
Job Category:
Academic Staff
Employment Type:
Regular
Job Profile:
DW Eng/Developer II
Job Duties:
School/College/Division Description
Employees at UWM in the Department of University IT Services work in an innovative, collaborative, and casual-work environment with flexible work/life balance schedules. If you are a motivated, results-oriented individual who wants to make a real difference with our team, community, and the campus, we encourage you to apply!
Job Description
The University of Wisconsin-Milwaukee is seeking a skilled Data Warehouse Engineer to join our Enterprise Data Warehouse team. In this role, you'll design and build ETL workflows, develop data models, and ensure high-quality, reliable data pipelines that support analytics across campus. You'll work with Informatica, SQL, Oracle, and modern data warehousing tools to translate business needs into effective technical solutions. Ideal candidates bring strong SQL and Informatica experience, a solid understanding of data warehousing concepts, and the ability to collaborate with both technical and functional partners. Experience with Oracle, Redshift, or higher-education environments is a plus.
Key Job Responsibilities:
  • Conducts assessments and/or provides recommendations of source connections options for access and optimal data pipelines for development. Develops and unit tests high-complexity load and/or mappings across a suite of tools and deploys to production
  • Conducts complex data exploration steps, such as profiling, understanding data quality, binning, pivoting, summarizing, and finding correlations on multiple data types and sources
  • Designs and/or builds, tests, and deploys conceptual, logical, and physical data models according to specifications and standards for document naming, security, lifecycle, and retention architectures. May provide architecture options analysis
  • Designs, and/or builds, tests, and deploys the data cleansing, integration, and transformation of more complex data in accordance with the defined target data model, based on enterprise data definitions and quality measures provided by data stewards
  • Develops and documents the inventory of complex data warehouse assets including adding descriptions and making them discoverable for business use
  • Presents the results of highly complex recommendations to address data quality issues, and coaches lower-level staff in performing data quality clean-up initiatives with metrics and reports
  • May provide code review, coaching, and oversight of the activities of lower-level data modelers and data curation developers
  • May consult with data subject matter experts to document and address data quality issues and ensure data is assured. May support data quality clean-up initiatives with metrics and reports

Additional Information:
  • This position does not offer visa sponsorship. Applicants must be legally authorized to work in the United States at the time of hire.
  • Selected candidates will be required to complete an I-9 form to verify eligibility to work in the U.S.
  • This position offers a hybrid-flexible schedule, with a minimum expectation of one on-campus day per week during the initial training and onboarding period to support effective integration and collaboration. As the employee becomes fully established in the role, additional remote work options may be considered based on performance, operational needs, and team alignment.

Minimum Qualifications
  • Bachelor's degree by date of hire
  • 3+ years of professional experience in data engineering, data warehousing, or a closely related discipline
  • Proficiency in SQL, including experience writing and optimizing complex queries
  • Hands-on experience developing ETL processes using modern tools or frameworks
  • Working knowledge of data warehousing concepts, data modeling techniques, and standard development methodologies

Preferred Qualifications
  • Bachelor's degree in Information Technology, Computer Science, or a closely related field
  • Experience with Oracle, PL/SQL, and/or Amazon Redshift data warehouse environments
  • 3+ years of experience designing, building, and optimizing ETL workflows and data pipelines preferably using Informatica Intelligent Cloud Services
  • Experience with data profiling, data quality assessment, and data cleansing practices
  • Experience developing conceptual, logical, and physical data models
  • Prior IT experience in a higher-education environment

Target Salary Range: $85,000-$93,000 annually
Benefits and Total Rewards
As part of UWM's commitment to supporting the success of our team members through positive experiences, employees are provided with Benefits to Benefit You and Your Life. UWM offers a comprehensive benefits package and contributes towards the cost of several benefit plans. Employees with a qualifying position also receive an extensive leave package including vacation, sick leave (with no expiration), personal holiday, and paid legal holidays. Please visit this link to view summary benefits information. (Compensation figures are for example purposes only.) UWM Benefits to Benefit You and Your Life
Applications Instructions
All applicants are required to apply online and submit both a cover letter and a resume that clearly describe their professional-level experience as it relates to the required and preferred qualifications.
Note: Applicants must complete all required fields and attach all required documents before submitting the online application. Applications missing any required documents at the time of the deadline will be marked as incomplete and will not be considered.
If the Search and Screen Committee is unable to determine from a candidate's materials whether they meet any of the stated qualifications, the candidate may be evaluated as not meeting those qualifications. Additional documents submitted beyond a cover letter and resume will not be reviewed.
Finalist candidate(s) will be asked to provide three professional or supervisor references through an external reference-checking tool. References will not be contacted until candidates have been notified.
Apply electronically by the application deadline of August 16, 2026. Questions about this position should be directed to Angelee Vang at vangap@uwm.edu.
Reasonable Accommodations
Pursuant to university policy, UWM provides reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment. Employment opportunities will not be denied because of the need to make reasonable accommodations for a qualified individual with a disability. If you need assistance or accommodation in applying because of a disability, please contact uwm-jobs@uwm.edu or 414-229-4463. This job announcement and other material on this site will be made available in alternate formats upon request to an individual with a disability.
Confidentiality of Applicant Materials
UWM is a State agency and subject to Wisconsin's Open Records Law. UWM will not, however, reveal the identities of applicants who request confidentiality in writing except as may be required by Wisconsin's Open Records law. In certain circumstances, the identities of "final candidates" and/or the identity of the appointed applicant must be revealed upon request.
CBC and Reference Check Policy
Employment will require a criminal background check. UWM takes the prevention of sexual misconduct seriously. As such, you and your references will be required to answer questions regarding any past findings of sexual violence and sexual harassment or any pending allegations of sexual violence or sexual harassment.
Annual Security and Fire Safety Report (Clery Act)
For the UWM Annual Security and Fire Safety Reports (i.e., Clery Report), which includes statistics about reported crimes and information about campus security policies, see http://www.cleryact.uwm.edu/, or call UWM's Dean of Students Office, Student Union 345 at (414) 229-4632 for a paper copy.
Employment Authorization
In compliance with federal law, all persons at the time of their start date will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
UW is an Equal Opportunity Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.

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