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Remote Data Analyst Startup Jobs in Wisconsin (NOW HIRING)

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analytical and data-driven approach to identifying, defining, and prioritizing problems ... Remote-First: We offer the freedom to work from home across most of the U.S. You'll enjoy the ...

Additionally, the role supports broader HR initiatives through data analysis and reporting while ... Remote ½ day Fridays * Onsite Health & Wellness Center * Employer 401K contribution in the top 1% ...

Additionally, the role supports broader HR initiatives through data analysis and reporting while ... Remote ½ day Fridays * Onsite Health & Wellness Center * Employer 401K contribution in the top 1% ...

Additionally, the role supports broader HR initiatives through data analysis and reporting while ... Remote ½ day Fridays * Onsite Health & Wellness Center * Employer 401K contribution in the top 1% ...

Description Join Rural Mutual Insurance's Actuarial team and help drive data-informed decisions ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Applications Analyst

Milwaukee, WI · Remote

$35.50 - $66.25/hr

Data Strategy Status: Full time Benefits Eligible: Yes Hou rs Per Week: 40 Schedule Details ... Fully Remote Role from these states: AL, AK, AR, AZ, DE, FL, GA, IA, ID, IL, IN, LA, KS, KY, ME, MI ...

Track carrier time in transit from shipment to delivery on an ongoing basis, managing large data ... Must be open to either working onsite at Jockey's corporate office (Kenosha, WI) or offsite remote ...

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Remote Data Analyst Startup information

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

A Remote Data Analyst at a startup requires strong analytical skills, proficiency in statistics, and experience with data visualization, often supported by a degree in a quantitative field. Familiarity with tools like SQL, Python or R, and platforms such as Tableau or Power BI, as well as experience with cloud-based collaboration tools, is typically expected. Outstanding communication, self-motivation, and adaptability are soft skills that help individuals excel in a fast-paced, remote startup environment. These abilities are vital for delivering actionable insights, collaborating effectively with distributed teams, and driving rapid, data-informed decisions.

How do remote data analysts at startups typically collaborate with cross-functional teams despite working remotely?

Remote Data Analysts at startups often work closely with product managers, engineers, and marketing teams through frequent virtual meetings and collaborative tools like Slack, Zoom, and shared dashboards. Effective communication is key, as analysts need to clearly present their findings and translate data insights into actionable recommendations for different teams. The fast-paced startup environment means priorities can shift quickly, so flexibility and proactive engagement are important for staying aligned with the company's goals.

What is a remote data analyst at a startup?

A Remote Data Analyst at a startup is a professional who collects, processes, and analyzes data to help the company make informed decisions, all while working from a remote location. Their work often involves creating reports, identifying trends, and providing actionable insights to support business growth and strategy. Since startups are fast-paced and dynamic, remote data analysts may also be expected to work with various teams, adapt to changing priorities, and use a wide range of analytical tools. Strong communication and self-motivation skills are essential for success in this role.
What are the most commonly searched types of Data Analyst Startup jobs in Wisconsin? The most popular types of Data Analyst Startup jobs in Wisconsin are:
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Cheminformatics Specialist - Remote

micro1 AI

Green Bay, WI • On-site, Remote

$90 - $120/hr

Part-time

Posted 14 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.