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Weekend Quantitative Analyst Jobs in Wisconsin (NOW HIRING)

Ability to travel up to 10% of working time away from work location; may include overnight/weekend ... Demonstrated ability to apply qualitative or quantitative business analysis while leveraging ...

Ability to travel up to 10% of working time away from work location; may include overnight/weekend ... Demonstrated ability to apply qualitative or quantitative business analysis while leveraging ...

Create and execute analytics solutions that lead to improvement and optimization in business ... Conduct quantitative and qualitative market research to aid the prioritization of corporate ...

Create and execute analytics solutions that lead to improvement and optimization in business ... Conduct quantitative and qualitative market research to aid the prioritization of corporate ...

Bachelor's of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field * 2+ years of progressively complex data science or analytics experience ...

Showing results 41-60

Weekend Quantitative Analyst information

See Wisconsin salary details

$57K

$135.1K

$242.2K

How much do weekend quantitative analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for weekend quantitative analyst in Wisconsin is $135,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $146,900.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of a weekend quantitative analyst, and how does the work differ from weekday roles?

As a Weekend Quantitative Analyst, your main responsibilities typically include real-time data analysis, monitoring market movements, and supporting trading teams during weekend trading sessions. Unlike weekday roles that may focus more on research or strategy development, weekend analysts often prioritize immediate problem-solving and rapid response to market events. Collaboration is usually remote, with communication channels open to traders and risk managers who require timely insights. This role is ideal for individuals seeking flexibility while still contributing to critical decision-making processes in financial institutions.

What is a weekend quantitative analyst?

A Weekend Quantitative Analyst is a professional who applies mathematical and statistical techniques to analyze data and solve financial or business problems, specifically during weekends. They often work for financial institutions, investment firms, or consulting companies, focusing on tasks such as modeling, risk analysis, and data interpretation. This role may involve supporting trading activities, conducting research, or testing algorithms outside of regular weekday hours. Weekend Quantitative Analysts help organizations maintain continuous operations and respond to market changes that occur over weekends. Strong skills in mathematics, programming, and data analysis are essential for success in this position.

What is the difference between Weekend Quantitative Analyst vs Part-Time Quantitative Analyst?

AspectWeekend Quantitative AnalystPart-Time Quantitative Analyst
CredentialsTypically requires a degree in finance, mathematics, or related field; certifications like CFA are commonSimilar educational background; certifications optional but beneficial
Work EnvironmentUsually works during weekends or specific days, often in financial firms or hedge fundsFlexible hours, often in the same environments as weekend analysts
Employer & Industry UsageUsed by hedge funds, asset managers, and financial institutions for weekend analysisCommon across financial firms for flexible, part-time support roles

The main difference between a Weekend Quantitative Analyst and a Part-Time Quantitative Analyst lies in their work schedule. Weekend analysts specifically work during weekends, while part-time analysts may have flexible hours throughout the week. Both roles require similar skills and credentials, and are used in comparable financial environments to support quantitative research and analysis.

What are the key skills and qualifications needed to thrive as a weekend quantitative analyst, and why are they important?

To thrive as a Weekend Quantitative Analyst, you need strong quantitative analysis skills, proficiency in statistics, and a degree in mathematics, finance, or a related field. Familiarity with programming languages like Python or R, statistical modeling tools, and data visualization platforms is typically required. Exceptional problem-solving abilities, attention to detail, and effective time management set top performers apart in this role. These skills and qualities are crucial for accurate data-driven insights and timely financial decision-making, especially during critical weekend market hours.
What are the most commonly searched types of Quantitative Analyst jobs in Wisconsin? The most popular types of Quantitative Analyst jobs in Wisconsin are:
Infographic showing various Weekend Quantitative Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 82% In-person, and 18% Hybrid job distribution, with an average salary of $135,129 per year, or $65 per hour.

Sr. Commercial Analytics Specialist

Abbott

Madison, WI

$78K - $156K/yr

Full-time

Posted 7 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

180th of 536 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Position Overview
The Senior Commercial Analytics Specialist is responsible for analyzing the performance of the brand and the execution of the commercial channels that propel the brand, by developing key strategic initiatives, and aligning on KPIs. The tasks include strategizing, processing, and organizing data, synthesizing data, and performing descriptive and predictive analyses, and creating reporting dashboards. This role will provide key insights to business partners within commercial organizations to inform business decisions. The team deploys a variety of exciting analytical software and techniques that the analyst will be able to simultaneously use and learn.

Essential Duties
Include, but are not limited to, the following:

  • Use descriptive and advanced analytics methods to generate actionable insights from large quantities of third party and/or enterprise data.
  • Create and communicate the story through the data, using appropriate visualizations.
  • Lead cross functional partnerships to understand business requirements, transform the requirements into analytical frameworks, and articulate the results in an actionable, cogent fashion to drive decisions.
  • Collaborate with Commercial team members to identify performance KPIs and create automated reports to track those KPIs.
  • Consistently build effective relationships with team members and clients; ability to influence directly and indirectly.
  • Lead improvement efforts for reporting and tracking mechanisms (tools and processes) to support effective, accurate data analysis.
  • Contribute to and support data management efforts that enable data to be used for business reporting and analytics.
  • Process and synthesize complex data and ensure data integrity and accuracy.
  • Proactively anticipates needs of the customer and delivers quality results independently.
  • May actively coach and mentor junior team members.
  • Independent and objective thinking to properly evaluate, communicate, educate, influence, and gain cooperation in reaching consensus, decisions, and action.
  • Results orientated and strong initiative; convey a sense of urgency and drives issues to closure.
  • Ability to positively contribute and adapt to change and operate in a dynamic organization.
  • Excellent organizational skills and detail orientation.
  • Strong analytical skills, business intuition, and ability to build consensus across functions.
  • Excellent interpersonal and communication skills, ability to operate in a matrixed cross-cultural and cross-functional environment.
  • Excellent verbal and written skills with the ability to present to, and communicate with, Senior Leadership.
  • Adaptable, open to change and able to work in ambiguous situations and respond to new information or unexpected circumstances.
  • Creative and proactive problem-solving abilities.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Regular and reliable attendance.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to travel up to 10% of working time away from work location; may include overnight/weekend travel.

Minimum Qualifications

  • Bachelor's degree in Math, Business, Computer Science, Engineering, or other field related to the essential duties.
  • 2+ years of working experience with SQL.
  • 2+ years of working experience with at least one data visualization tool (Tableau, Power BI, Qlik Sense, etc.).
  • 3+ years of relevant business experience, or advanced degree, or professional certifications.
  • Proficient in Microsoft Office; especially Excel.
  • Demonstrated ability to apply qualitative or quantitative business analysis while leveraging primary or secondary data.
  • Demonstrated ability to manage and leverage multiple data sources.
  • Demonstrated ability to perform the Essential Duties of the position with or without accommodation.
  • Authorization to work in the United States without sponsorship.

Preferred Qualifications

  • Biotech or Pharmaceutical industry experience.
  • Experience working with or within a Commercial Organization.
  • Working experience with the following platforms:
  • Visualization tools (Tableau, Power BI etc.).
  • Data preparation / processing tool (e.g. any of SQL, Alteryx, Tableau Prep etc.).
  • Statistical tool (e.g. any of R, SAS, Python etc.).
  • Relational data models.
  • Experience developing and reviewing surveys.

The base pay for this position is

$78,000.00 - $156,000.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Clinical Affairs / StatisticsDIVISION:ONCO Cancer DiagnosticsLOCATION:United States > Madison : 5505 Endeavor LnADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 10 % of the TimeMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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