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Analytics Engineer Jobs in Madison, WI (NOW HIRING)

Manufacturing Engineer

Madison, WI · On-site

$73K - $94K/yr

We are seeking an experienced motivated individual with an analytical and hands on approach to provide technical expertise to the manufacturing engineering staff in our assembly team. This role will ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Manufacturing Engineer

Madison, WI · On-site

$73K - $94K/yr

We are seeking an experienced motivated individual with an analytical and hands on approach to provide technical expertise to the manufacturing engineering staff in our assembly team. This role will ...

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 ...

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 · 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 ...

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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 Jul 17, 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 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:
ServiceNow Developer (Analyst/Developer - Generic 2)

ServiceNow Developer (Analyst/Developer - Generic 2)

Co-Sourcing Partners

Madison, WI • On-site

$54.50 - $74.75/hr

Full-time

Re-posted 19 days ago


Job description

Position: Analyst/Developer - Generic 2 (ServiceNow Developer)
Company: Confidential
Location: Onsite - Madison WI
Employment Type: Full-Time
Experience Level: 2-4 Years
Job ID: 312
Role Overview
We are seeking a ServiceNow Developer to design, develop, and customize scalable ServiceNow applications that address business and operational needs. This role will focus on configuration and scripting within key ServiceNow modules including ITSM, IRM, SecOps, ITOM, and SPM. The developer will work cross-functionally with business analysts and technical teams to ensure seamless integration with current systems and processes. The ideal candidate demonstrates technical fluency with ServiceNow architecture, and shows a strong understanding of secure, maintainable, and scalable development practices. Preference will be given to those with hands-on experience in Security Operations (SecOps) and automation integration.
Employee Value Proposition (EVP)
Purpose:
This role plays a critical part in building enterprise-wide capabilities on the ServiceNow platform, enabling efficient service delivery and risk reduction across departments. By optimizing workflows and implementing automation, you'll directly contribute to improved operational resilience and digital maturity.
Growth:
You will gain exposure to high-impact projects involving ITSM, SecOps, and risk management, working with a modern tech stack and a collaborative, agile team. As the ServiceNow platform expands across the organization, this role offers a fast-track path to senior development, architecture, or platform owner roles.
Motivators:
This is an ideal role for someone who enjoys solving complex problems through technology and wants to work in a forward-looking team that values innovation and cross-functional learning. You'll have the autonomy to introduce best practices and the support to continuously develop your expertise in both ServiceNow and secure enterprise systems.
Major Performance Objectives
1. Deliver Secure and Scalable ServiceNow Enhancements (First 90-120 Days)
Design and implement new features, modules, and enhancements within ServiceNow, with a strong emphasis on scalability, performance, and security. Focus on high-priority business use cases related to ITSM and SecOps. Ensure all solutions align with best practices, organizational goals, and governance policies, delivering production-ready features with minimal rework.
2. Lead Development and Deployment of SecOps Use Cases (By Month 6)
Own the development and deployment of core SecOps capabilities including Security Incident Response, Threat Intelligence, and Vulnerability Response. Partner with InfoSec and compliance teams to ensure business alignment. Demonstrate measurable value through reduced threat response times or improved remediation tracking.
3. Ensure Seamless Integration with Legacy and Modern Systems (First 6 Months)
Collaborate with architects and infrastructure teams to implement clean data flows and robust system integrations between ServiceNow and key enterprise applications. Validate that APIs, import sets, and mid-server configurations are functioning as intended, minimizing outages and data discrepancies.
Critical Subtasks
1. Support Ongoing Module Configuration and Maintenance
Within the first 60 days, take ownership of configuring and maintaining ServiceNow modules including ITOM, IRM, and SPM. Ensure consistent updates to forms, fields, and workflows. Resolve incidents and apply patches without regression issues while ensuring compliance with internal change control.
2. Write, Review, and Maintain Custom Scripts and Workflows
Author and maintain high-quality server-side and client-side scripts (e.g., Business Rules, Script Includes, UI Policies). Within 90 days, deliver at least two custom workflows supporting business automation or self-service enhancements.
3. Perform Unit Testing and Debugging to Ensure Platform Stability
Establish test cases and debugging procedures for all code changes. Participate in sprint reviews to demonstrate tested functionality. Reduce post-deployment defects by at least 75% over the first three release cycles.
4. Collaborate Cross-Functionally to Translate Business Requirements into Technical Solutions
Work with business analysts to gather, clarify, and document requirements. Translate them into actionable development tasks. Ensure traceability from requirement to deployment using story-based agile methods.
5. Document Technical Solutions and System Changes
Maintain detailed documentation in accordance with internal compliance standards. Ensure all changes are auditable, including design decisions, scripts, data flows, and configuration items.
6. Participate in Agile Ceremonies and Continuous Improvement Initiatives
Attend daily standups, sprint planning, retrospectives, and demos. Proactively suggest and implement small improvements to team velocity, testing practices, or release processes.
7. Continuously Evaluate and Integrate AI to Improve Performance
Within the first 90-180 days, take ownership of identifying how AI and automation tools can support or enhance the core responsibilities of this role. Evaluate tasks that could be streamlined or improved, lead pilots, and embed continuous AI adoption into daily work.