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

micro1 AI

Cheminformatics Specialist - Remote

Kenosha, WI · On-site +1

$90 - $120/hr

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 ...

FIS

Consultant Senior - IBS Loan Conversions

Milwaukee, WI · On-site +1

$81K - $139K/yr

Analyze client loan portfolios, processes, and data structures to define conversion requirements ... Opportunities to make an impact in fintech * Personal and professional learning * Inclusive ...

DataAnnotation

Treasury Analyst - AI Trainer

Kenosha, WI · Remote

$50 - $100/hr

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 ...

Advocate Aurora Health

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 ...

New

Jockey

DTC Operations & Fulfillment Analyst

Kenosha, WI · On-site +1

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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All JobsData Analyst Fintech JobsRemote Data Analyst Fintech JobsRemote Data Analyst Fintech Jobs in Racine, WI

Remote Data Analyst Fintech information

See Racine, WI salary details

$31.9K

$77.5K

$127.5K

How much do remote data analyst fintech jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data analyst fintech 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.

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

To thrive as a Remote Data Analyst in Fintech, you need strong analytical abilities, proficiency in statistics, and a background in finance, typically supported by a relevant degree. Expertise in technical tools such as SQL, Python, data visualization platforms (e.g., Tableau), and experience with financial modeling or risk analysis systems are often required. Strong problem-solving skills, attention to detail, and effective remote communication make candidates stand out in this role. These skills are crucial for delivering accurate data-driven insights that support financial decision-making and regulatory compliance in a fast-evolving industry.

How does a remote data analyst in fintech typically collaborate with cross-functional teams?

As a Remote Data Analyst in fintech, you will regularly collaborate with product managers, engineers, and business analysts through virtual meetings and digital project management tools. Clear communication is essential, as you'll often translate complex data findings into actionable insights for non-technical stakeholders. Collaboration usually involves participating in sprint meetings, sharing dashboards, and providing real-time data support to optimize product features or enhance risk assessment processes. Building strong remote working relationships is key to ensuring alignment and timely delivery of analytics solutions.

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

AspectRemote Data Analyst FintechRemote Data Analyst Banking
CredentialsBachelor's in Data Science, Finance, or related fields; certifications like CFA or Microsoft Data certificationsBachelor's in Finance, Economics, or Data Science; similar certifications often preferred
Work EnvironmentStartups, tech companies, online platforms in financial technologyTraditional banks, financial institutions, online banking services
Industry UsageUsed in innovative financial apps, digital payment platforms, and online lendingApplied in retail banking, investment banking, and financial services

The main difference between a Remote Data Analyst Fintech and a Remote Data Analyst Banking lies in their industry focus. Fintech analysts work primarily with innovative financial technology companies, while banking analysts are employed within traditional banking institutions. Both roles require similar skills and certifications but differ in work environment and industry applications.

What does a remote data analyst in fintech do?

A Remote Data Analyst in Fintech is responsible for collecting, processing, and analyzing financial data to help companies make informed business decisions. They work with large datasets, identify trends, and generate actionable insights to improve financial products or services. This role often requires proficiency in data analysis tools, strong statistical skills, and an understanding of financial markets or payment systems. As the position is remote, communication and collaboration are typically conducted online using digital tools.
What job categories do people searching Remote Data Analyst Fintech jobs in Racine, WI look for? The top searched job categories for Remote Data Analyst Fintech jobs in Racine, WI are:
What cities near Racine, WI are hiring for Remote Data Analyst Fintech jobs? Cities near Racine, WI with the most Remote Data Analyst Fintech job openings:
Remote Data Analyst Fintech jobs near you
Infographic showing various Remote Data Analyst Fintech job openings in Racine, WI as of August 2026, with employment types broken down into 80% Full Time, 5% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,490 per year, or $37.3 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Kenosha, WI • On-site, Remote

$90 - $120/hr

Part-time

Posted 11 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.

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