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Remote Data Manager Jobs in Wisconsin (NOW HIRING)

DataAnnotation

$40/hr

The role offers the flexibility of remote work, with competitive pay starting at $40+ per hour and ... Join us in shaping the future of AI systems that reason about data and analytics. #J-18808-Ljbffr

Connexus Credit Union

Data Analyst

Wausau, WI · Remote

We are a remote first employer with the majority of our employees residing in the upper Midwest. As ... We are searching for a Data Analyst to join our Data & Insights team with a strong focus on ...

UW Health

Registry Oncology Data Specialist

Middleton, WI · On-site +1

$17.50 - $23.25/hr

Approved Remote Work States Listing Be part of something remarkable Join the #1 hospital in ... Associate's Degree in Cancer Information Management (CIM) Required * Two (2) years of cancer data ...

UWHealth

Registry Oncology Data Specialist

Middleton, WI · On-site +1

$17.50 - $23.25/hr

Approved Remote Work States Listing Be part of something remarkable Join the #1 hospital in ... Associate's Degree in Cancer Information Management (CIM) Required * Two (2) years of cancer data ...

UW Health

Registry Oncology Data Specialist

Middleton, WI · On-site +1

$17 - $22.75/hr

Approved Remote Work States Listing Be part of something remarkable Join the #1 hospital in ... Associate's Degree in Cancer Information Management (CIM) Required * Two (2) years of cancer data ...

Lands' End

Data Warehouse Engineer (Remote)

Dodgeville, WI · Remote

$118.30K - $142.10K/yr

As a Data Warehouse Engineer, you are responsible for developing integrations using enterprise ... Develop and manage ETL/ELT pipelines using tools such as AWS Glue and Databricks that power the ...

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Remote Data Manager information

See Wisconsin salary details

$27.3K

$104.3K

$183.4K

How much do remote data manager jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data manager in Wisconsin is $104,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $134,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What are some typical challenges faced by Remote Data Managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.

What is a Remote Data Manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

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

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

What are popular job titles related to Remote Data Manager jobs in Wisconsin? For Remote Data Manager jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Data Manager jobs in Wisconsin look for? The top searched job categories for Remote Data Manager jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Data Manager jobs? Cities in Wisconsin with the most Remote Data Manager job openings:
Remote Data Manager jobs near you
Infographic showing various Remote Data Manager job openings in Wisconsin as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $104,330 per year, or $50.2 per hour.
AI Trainer & Quantitative Data Scientist (Remote)

AI Trainer & Quantitative Data Scientist (Remote)

DataAnnotation

Oregon, WI • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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