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Physics Data Analyst Jobs in Wisconsin (NOW HIRING)

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience in ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience in ...

Experience with data analysis and visualization tools * Demonstrated ability to work in collaborative, multidisciplinary teams Preferred Qualifications * Experience with stellarator physics and ...

Design and analyze experiments and physics-based models to improve gate fidelity, stability ... Develop Python-based tools in Linux environments for experiment control, data analysis, calibration ...

Design and analyze experiments and physics-based models to improve gate fidelity, stability ... Develop Python-based tools in Linux environments for experiment control, data analysis, calibration ...

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Showing results 1-20

Physics Data Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do physics data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for physics data analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A Physics Data Analyst can transition into data science at any age, including 40, as the field values skills like programming, statistical analysis, and problem-solving. Many professionals successfully switch careers later in life by gaining relevant certifications and experience, making age less of a barrier in data science roles.

Does a data analyst require physics?

A physics data analyst typically needs a strong understanding of physics principles to interpret scientific data accurately. Skills in data analysis tools like Python or R, along with knowledge of statistical methods, are also essential; formal physics education can be beneficial but is not always mandatory depending on the industry and specific role.

What does a Physics Data Analyst do?

A Physics Data Analyst collects, processes, and interprets large sets of data generated from physics experiments or simulations. They use statistical methods, programming, and specialized software to extract meaningful insights and support scientific research. Their work often involves cleaning data, identifying trends, creating visualizations, and collaborating with physicists to draw conclusions that can advance understanding in areas such as particle physics, astrophysics, or materials science.

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

To thrive as a Physics Data Analyst, you need a solid background in physics, mathematics, and statistical analysis, often supported by a degree in physics or a related field. Proficiency with programming languages like Python or MATLAB, data visualization tools, and familiarity with statistical software and databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with diverse teams. These skills ensure accurate analysis, meaningful data-driven conclusions, and successful collaboration in research or industry environments.

What is the difference between Physics Data Analyst vs Data Scientist?

AspectPhysics Data AnalystData Scientist
Required CredentialsBachelor's or Master's in Physics, Data Analysis, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, scientific organizations, industry R&DTech companies, finance, healthcare, consulting
Employer & Industry UsageResearch institutions, aerospace, energyTech firms, finance, marketing
Common Search & ComparisonPhysics Data Analyst vs Data Scientist

The main difference between a Physics Data Analyst and a Data Scientist lies in their focus and industry. Physics Data Analysts typically work in research or scientific environments, applying physics principles to analyze data. Data Scientists have a broader scope, often working across industries like tech, finance, and healthcare, utilizing advanced statistical and machine learning techniques. Both roles require strong analytical skills, but their applications and work settings differ.

What are some common challenges Physics Data Analysts face when interpreting experimental data?

Physics Data Analysts often work with large, complex datasets that may contain noise or inconsistencies due to experimental limitations. One common challenge is accurately distinguishing between meaningful patterns and random fluctuations, which requires strong statistical knowledge and experience with data-cleaning techniques. Additionally, analysts must frequently collaborate with physicists and engineers to understand the context of the data and ensure proper interpretation, making strong communication skills important. Overcoming these challenges involves continually updating technical skills and staying current with best practices in both physics and data analysis.

Does NASA hire data scientists?

NASA employs data scientists and data analysts to support research, mission planning, and data management. These roles often require skills in programming, statistical analysis, and experience with tools like Python, R, or SQL. Job opportunities are typically listed on NASA's official careers website and may require security clearances or specialized training.

Can data scientists make $300k?

Data scientists, including those with specialized skills like physics data analysis, can earn $300,000 or more annually, especially with extensive experience, advanced expertise, or in high-paying industries such as finance or technology. Achieving this level often requires strong programming skills, advanced degrees, and a track record of impactful work.
What are popular job titles related to Physics Data Analyst jobs in Wisconsin? For Physics Data Analyst jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Physics Data Analyst jobs? Cities in Wisconsin with the most Physics Data Analyst job openings:
Infographic showing various Physics Data Analyst job openings in Wisconsin as of July 2026, with employment types broken down into 54% Full Time, and 46% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.
Data Scientist Analyst

Data Scientist Analyst

Elevance Health

Waukesha, WI • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Elevance Health rating

7.7

Company rating: 7.7 out of 10

Based on 349 frontline employees who took The Breakroom Quiz

198th of 299 rated insurance


Job description

Data Scientist Analyst

Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to one of our Pulse Point locations in Indianapolis, IN, Louisville, KY or Waukesha, WI. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

As a Data Scientist Analyst, you will support the development of innovative analytics and AI solutions that uncover early signals in cost trends across Medicaid, Medicare, Local Group, and Individual markets. You'll collaborate with actuaries, finance leaders, and business stakeholders to enhance decision-making through advanced modeling, automation, and insight delivery.

In this role, you will help modernize how emerging cost drivers are detected using real-time data, AI-powered insights, and dynamic tools to support critical decisions for executive, actuarial, and financial audiences. Join us to shape the future of health cost forecasting.

How you will make an impact:

  • Develop and implement predictive models, trend detection algorithms, and statistical analyses using weekly claims, pharmacy, lab, and authorization data to identify emerging cost drivers.

  • Apply machine learning and AI techniques to uncover leading indicators of health utilization trends and improve predictive accuracy of actuarial and financial models.

  • Build and enhance interactive dashboards and executive tools that translate complex data into actionable insights for business and finance leaders.

  • Design and implement scalable machine learning models and LLM-based solutions.

  • Apply NLP techniques and prompt engineering to build conversational and generative AI systems.

  • Develop APIs using FastAPI or Flask for model serving and integration.

  • Execute algorithms to address specific business problems under the direction of team lead or manager.

  • Work with datasets of moderate size and complexity.

  • Develop visualization of analysis output for business users and publish results under the direction of team lead or manager.

  • Support the evolution of early-warning systems and automation for trend monitoring and reporting across multiple lines of business.

  • Translate model outputs and statistical insights into clear business narratives that inform planning, pricing, and strategic actions.

Minimum Requirements:

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience in predictive analytics or equivalent; or any combination of education and experience, which would provide an equivalent background.

Preferred Skills, Capabilities & Experiences:

  • Prior experience in healthcare analytics or trend analysis is a strong advantage highly preferred.

  • Proven ability to communicate technical findings and complex concepts to a non-technical audience and develop compelling visual narratives highly preferred.

  • Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets highly preferred.

  • Experience with data visualization platforms (Power BI, Tableau, or equivalent) preferred.

Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.

Who We Are

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

How We Work

At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.

We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.

The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.

Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.


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About Elevance Health

Sourced by ZipRecruiter

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. A Fortune 20 company with a longstanding history in the healthcare industry, we are looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. You will thrive in a complex and collaborative environment where you take action and ownership to solve problems and lead change. Do you want to be part of a larger purpose and an evolving, high-performance culture that empowers you to make an impact?

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

2004

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