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Data Analytics Research Assistant Jobs in Madison, WI

Share knowledge and best practices to elevate data and analytics capabilities across the Firm ... Engage in research and study to continuously improve the Firm's reporting and business intelligence ...

Enterprise Data Analyst

Madison, WI · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Share knowledge and best practices to elevate data and analytics capabilities across the Firm ... Engage in research and study to continuously improve the Firm's reporting and business intelligence ...

IRP Research Analyst - BFY

Madison, WI · On-site

$55K - $70K/yr

  • Retirement

  • PTO

Research Analyst I Job Summary: The Baby's First Years (BFY) study is a first-of-its-kind ... data science/analytics, or related field. How to Apply: For the best experience completing your ...

Senior Credit Analyst

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Overview The Senior Credit Analyst plays a key role in the Investment Property Lending (IPL ... Perform research on real estate metrics and data using a commercial real estate database. * Assist ...

Senior Credit Analyst

Madison, WI · On-site

$38.39/hr

  • Medical

  • Dental

  • Vision

  • Retirement

The Senior Credit Analyst plays a key role in the Investment Property Lending (IPL) underwriting ... Perform research on real estate metrics and data using a commercial real estate database. * Assist ...

Senior Credit Analyst

Madison, WI · On-site

$38.39 - $42.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Overview The Senior Credit Analyst plays a key role in the Investment Property Lending (IPL ... Perform research on real estate metrics and data using a commercial real estate database. * Assist ...

ORS Research Administration Director

Madison, WI · On-site

$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research Administration Director (B) Job Summary: The School of Education's Office of Research and ... Experience using data analytics and reporting tools to support decision-making and operational ...

Research Scientist

Madison, WI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data analysis and modelling results for the purposes of high-fidelity model validation and ... assist in developing grant opportunities, grant applications, proposals and other materials to ...

Research Scientist

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data analysis and modelling results for the purposes of high-fidelity model validation and ... assist in developing grant opportunities, grant applications, proposals and other materials to ...

Research Scientist

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data analysis and modelling results for the purposes of high-fidelity model validation and ... assist in developing grant opportunities, grant applications, proposals and other materials to ...

Showing results 21-40

Data Analytics Research Assistant information

See Madison, WI salary details

$8

$22

$31

How much do data analytics research assistant jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analytics research assistant in Madison, WI is $22.08, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $25.67 per hour, depending on experience, location, and employer.

What does a data analytics research assistant do?

A Data Analytics Research Assistant supports research projects by collecting, cleaning, and organizing data, performing statistical analyses, and generating visualizations and reports. They assist with designing experiments, managing databases, and interpreting data to identify trends and insights. Their work helps researchers make evidence-based decisions and advance knowledge in various fields, such as business, healthcare, or social sciences.

How does a data analytics research assistant typically collaborate with other team members on research projects?

Data Analytics Research Assistants frequently work alongside data scientists, researchers, and subject matter experts to support research initiatives. They are often responsible for cleaning and preparing data, conducting exploratory analyses, and visualizing findings to facilitate team discussions. Regular meetings and open communication are essential, as assistants may need to present preliminary results, seek feedback, and adjust their analyses based on project goals. This collaborative environment fosters learning and provides opportunities to contribute to published research and gain exposure to advanced analytics methodologies.

What is the difference between Data Analytics Research Assistant vs Data Analyst?

AspectData Analytics Research AssistantData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or master's degree in data science, statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, corporate, or industry settings
Employer & Industry UsageUniversities, research institutes, government agenciesPrivate companies, consulting firms, finance, marketing
Common Search & ComparisonYesNo

The Data Analytics Research Assistant typically supports research projects by collecting and analyzing data in academic or research settings, often requiring a focus on experimental or theoretical work. In contrast, Data Analysts work primarily in industry, analyzing business data to inform decision-making. While both roles require similar educational backgrounds, their work environments and primary objectives differ significantly.

What are the key skills and qualifications needed to thrive as a data analytics research assistant, and why are they important?

To thrive as a Data Analytics Research Assistant, you need a solid background in statistics, data analysis, and research methods, typically supported by a relevant degree in fields like statistics, computer science, or economics. Proficiency with technical tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI is commonly expected. Strong attention to detail, critical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These competencies are essential for producing reliable analyses that support data-driven decision-making in research environments.
What are popular job titles related to Data Analytics Research Assistant jobs in Madison, WI? For Data Analytics Research Assistant jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Analytics Research Assistant jobs in Madison, WI look for? The top searched job categories for Data Analytics Research Assistant jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Analytics Research Assistant jobs? Cities near Madison, WI with the most Data Analytics Research Assistant job openings:
Infographic showing various Data Analytics Research Assistant job openings in Madison, WI as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Temporary. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $45,919 per year, or $22.1 per hour.

Enterprise Data Analyst

Husch Blackwell LLP

Madison, WI • On-site, Remote

Full-time

Posted 19 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
  • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
  • Apply statistical and data-modeling techniques to answer business questions and support decision-making
  • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
  • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency

Dashboarding & Reporting

  • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
  • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
  • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
  • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
  • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics

Data Management & Quality

  • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
  • Develop and apply data quality standards to ensure reliable, trustworthy outputs
  • Document data sources, definitions, and methodologies to support consistency and reuse
  • Maintain and enhance existing datasets, models, and reporting pipelines

Cross-Functional Collaboration

  • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
  • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
  • Connect analytical findings to business outcomes and Firm priorities

Continuous Improvement & Growth

  • Share knowledge and best practices to elevate data and analytics capabilities across the Firm
  • Identify opportunities to automate, improve, and scale analytics as the function grows
  • Contribute to building out the Firm’s enterprise data and analytics capabilities over time
  • Develop and improve reporting and business intelligence techniques to align the firm with leading edge information and business intelligence delivery
  • Engage in research and study to continuously improve the Firm’s reporting and business intelligence

POSITION REQUIREMENTS

  • Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
  • 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
  • Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
  • Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
  • Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
  • Experience working with data warehouses, databases, and modern BI/data platforms
  • Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
  • Experience with statistical modeling, regression analysis, and null hypothesis significance testing
  • Proven ability to independently scope and lead complex data analysis projects
  • Experience analyzing financial and operational performance metrics and the drivers behind them
  • Fluent in translating complex data into clear implications and actionable recommendations for the business
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with senior stakeholders and, where appropriate, clients
  • Operates with a client-service mindset; responsive, proactive, and a trusted advisor
  • Comfortable working at both strategic and tactical levels
  • Thrives in fast-paced environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
  • Understanding of data confidentiality and the sensitivity of legal and client information

Preferred Qualifications

  • Experience supporting multiple business units or functions in a shared-services or enterprise environment
  • Experience with data pipeline or ETL processes and working alongside data engineers
  • Experience applying AI and generative-AI tools to accelerate and enhance analytics
  • Familiarity and comfort with executive level communication and presentations

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1


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