ZipRecruiter

Log In

1

Analytics Engineer Jobs in Madison, WI (NOW HIRING)

Accuray Incorporated

Reliability Engineer

Madison, WI · On-site

$103K - $130K/yr

Analyze and mentor other engineers in analysis techniques to characterize failure distributions ... identify and mitigate dominant failure modes. * Track progress to reliability objectives through ...

BIOFerm

Estimating Engineer

Madison, WI · On-site

BIOFerm™ is looking for an Estimating Engineer responsible for developing accurate cost estimates ... This position requires a strong combination of technical knowledge, analytical skills, and ...

SCIENTIFIC PROTEIN MASTER

Reliability Engineer

Waunakee, WI · On-site

$104K - $131K/yr

The primarily function of the Reliability Engineer is reliability analysis, PM optimization, failure elimination, asset lifecycle technical support. This position will also provide technical ...

previous page

Showing results 41-60

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Madison, WI

Analytics Engineer information

See Madison, WI salary details

$60.7K

$106K

$172.8K

How much do analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for analytics engineer in Madison, WI is $105,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,132.00 and $118,940.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are popular job titles related to Analytics Engineer jobs in Madison, WI? For Analytics Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Madison, WI look for? The top searched job categories for Analytics Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Analytics Engineer jobs? Cities near Madison, WI with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Madison, WI as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $105,964 per year, or $50.9 per hour.

Reliability Engineer

Accuray Incorporated

Madison, WI • On-site

$103K - $130K/yr

Full-time

Re-posted 21 days ago

Job description

Give hope. Give health. Make your mark in the fight against cancer.
At Accuray, we make a direct and powerful impact on the lives of cancer patients every day - helping them live longer, better lives. But our commitment to innovation offers a truly unique opportunity: the chance to change the fight against cancer - helping to develop, introduce and support new treatment delivery systems and software that will give new hope and new health to cancer patients and cancer survivors around the world.
Accuray develops, manufactures and sells radiotherapy systems for alternative cancer treatments. Our radiation therapy for cancer makes treatment shorter, safer, personalized and more effective, ultimately enabling patients to live longer, better lives.
Job Description
SUMMARY:
The Reliability Systems Engineer in our Product Development department is responsible for establishing optimal reliability strategies across products and projects, identifying and tracking progress to relevant metrics, and guiding subsystem and component owners in execution of the most beneficial reliability tools throughout the product development process.
REPORTING TO/DEPARTMENT:
Reports to the Sr. Director of Electromechanical Systems in the Electromechanical Engineering department.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Develop user and system-level product reliability requirements to enable achievement of customer and business reliability objectives; work with subsystem owners and subject matter experts to allocate those requirements to subsystem and component levels; provide guidance and implement strategies to verify those requirements; adapt strategies to address needs of both internal and sourced designs to ensure products/components meet or exceed functional requirements over their intended life in their intended environment.
  • Translate user and system-level objectives into system and project-specific reliability plans; provide guidance to subsystem and component owners to create similar plans at those levels.
  • Employ tools to identify and prioritize design risks and define mitigations to eliminate or reduce those risks as early as possible in the development cycle; tools include but are not limited to FMEAs, usage definition, evaluation with respect to anticipated stresses, and field data analysis.
  • Identify design analysis and other (non-test-based) strategies to mitigate design risks and enable requirement verification; applicable tools include but are not limited to de-rating, reliability prediction, modeling, and finite element analysis.
  • Provide guidance on test strategies to achieve reliability objectives, not limited to but including reliability growth testing (e.g. HALT/step stress testing), mitigation of design risks (e.g. environmental testing), and reliability demonstration testing.
  • Analyze and mentor other engineers in analysis techniques to characterize failure distributions, identify and mitigate dominant failure modes.
  • Track progress to reliability objectives through the development cycle; facilitate regular review of progress to objectives and mitigations to address anticipated and known failure modes; provide guidance to organizations including service, manufacturing, and quality to enable achievement of reliability objectives on released product.
  • Mentor subsystem and component owners in identification and execution of the most beneficial reliability tools during the optimal time in the product development process.
  • Identify and work with cross-functional teams to implement process changes to drive reliability into existing processes and create new processes, when necessary; promote use of reliability best practices within and beyond product development based on external input not limited to but including standards and industry best practices.
  • Support functional and project managers in establishing and updating project milestones and schedules as well as evaluating engineering technologies and tools.
  • Work effectively with other engineers, scientists, subcontractors, and contractors.

REQUIRED QUALIFICATIONS:Preferred or Desired:
  • An advanced technical degree or certification in the field of Reliability Engineering.
  • Experience with reliability analysis software.
  • Experience in application of statistical methods.
  • Knowledge of reliability tools such as FMEA, Weibull Analysis, Reliability Allocation and Prediction, De-rating, Root Cause Analysis, Ishikawa Diagrams, Pareto Analysis, DOE, and accelerated testing.
  • Experience in application of reliability methodologies across the product development cycle.
  • Experience in software-based test automation including Python.

Required:
  • Bachelor's degree in Engineering or Physics and at least 5 years of design and development or reliability in a highly regulated industry.
  • Suitable work experience in a technically related field may be considered in lieu of formal education.
  • Basic understanding of control systems, electronics, and computer networks.
  • Hands-on experience with electronic test equipment and software.
  • Excellent troubleshooting and problem-solving skills.
  • Good verbal and written communication skills.
  • Proficient computer skills, including standard office software.
  • Ability to organize and coordinate technical tasks for other engineers.

To qualify for this position, candidates must be able to furnish proof that they are authorized to work in the country they are applying on a permanent basis without sponsorship.
EEO Statement
At Accuray, our commitment to patient-first outcomes drives an inclusive and collaborative work environment where the best ideas rise to the top - and everyone works to push them further. We value diversity in both the professional and personal backgrounds of our employees, as this variety adds rich energy to every team, every project and every work day. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin - including individuals with disabilities and veterans.

Apply