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Analytics Engineer Jobs in Madison, WI (NOW HIRING)

Additionally, the Research Engineer individual will be charged with troubleshooting existing ... Record and analyze data from existing systems and test rigs. * Perform various computer analyses ...

Research Engineer

Madison, WI · On-site

$90K - $115K/yr

Additionally, the Research Engineer individual will be charged with troubleshooting existing ... Record and analyze data from existing systems and test rigs. * Perform various computer analyses ...

Research Engineer

Fitchburg, WI · On-site

$90K - $115K/yr

Additionally, the Research Engineer individual will be charged with troubleshooting existing ... Record and analyze data from existing systems and test rigs. * Perform various computer analyses ...

Reliability Engineer

Madison, WI

$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 ...

Failure Mode Effects Analysis (FMEA) * 7-Step Problem Solving * MATLAB * Process Capability * Data Analysis * Coding background is a BONUS Education: Mechanical Engineering degree is required ...

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 ...

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

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 ...

Senior Analyst, Analytics

Madison, WI · On-site

$88K - $117K/yr

Develop analytics and/or data roadmaps to support business strategy. * Plan, prioritize, and ... Works with data & engineering teams to translate complex business data requirements into data model ...

Senior Analyst, Analytics

Madison, WI

$88K - $117K/yr

Develop analytics and/or data roadmaps to support business strategy. * Plan, prioritize, and ... Works with data & engineering teams to translate complex business data requirements into data model ...

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Analytics Engineer information

See Madison, WI salary details

$60.7K

$106K

$172.8K

How much do analytics engineer jobs pay per year?

As of Jun 16, 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 business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

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 big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

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 the most commonly searched types of Analytics Engineer jobs in Madison, WI? The most popular types of Analytics Engineer jobs in Madison, WI are:
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 cities near Madison, WI are hiring for Analytics Engineer jobs? Cities near Madison, WI with the most Analytics Engineer job openings:
Research Engineer

$90K - $115K/yr

Other

Posted 26 days ago


Job description

Description

SHINE Technologies is seeking a Research Engineer who will be responsible for inventing, developing, and refining the technology inherent to SHINE's business and products. Additionally, the Research Engineer individual will be charged with troubleshooting existing systems and designing and building test equipment to expand SHINE's basic knowledge in fields pertinent to its business.

The base salary range for this position is $90,000 - $115,000 per year plus a comprehensive compensation package. Our salary ranges are determined by role, level, and location.


Duties and Responsibilities:

Specific duties and responsibilities of the Research Engineer include, but are not limited to:

  • Design and implement experiments to further understanding of essential technologies for SHINE's core products.
  • Record and analyze data from existing systems and test rigs.
  • Perform various computer analyses (mechanical, electrostatics, magnetostatics, etc.) on existing products and potential designs; provide analysis for these analyses.
  • Design, prototype, and evaluate new components and products for Phoenix. Assist the mechanical engineering team in productizing these designs.
  • Troubleshoot existing products and prototypes.
  • Perform extensive literature searches for data and experiments relevant to Phoenix's core technology.
  • Create detailed and comprehensive written reports of work performed and results found.


Requirements

  • Advanced degree in physical science or engineering field or 3+ years' experience as a research engineer.
  • Extensive knowledge of, and experience with vacuum systems and vacuum system design.
  • Extensive knowledge of, and experience with high voltage power and high voltage design.
  • Knowledge of CAD software, particularly SolidWorks
  • Experience with finite element modeling software including mechanics, electrostatics, and magnetostatics design and the ability to rapidly learn others.
  • Excellent communication and collaborative skills.
  • Must have the ability to conceive and perform mathematical analyses of complicated physical problems.

Eligibility for employment is conditioned on the applicant's ability to qualify for access to information subject to U.S. Export Controls. Additionally, applicant's eligibility may be conditioned based upon meeting the Nuclear Regulatory Commission requirements for access to Safeguards Information, which typically requires a pre-employment drug screen, fingerprinting and criminal background check.

SHINE values diversity in all its forms as a critical component of innovation, which is fundamental to our success. Every member of the SHINE community benefits from the talents and experiences of our peers, from the mutual respect we exercise, and from the responsibility we take for our actions.

SHINE Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.


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