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Analytic Developer Jobs in Madison, WI (NOW HIRING)

We are seeking an analytical Engineering Assistant to support engineering operations through technical data collection, basic statistical analysis, external partner liaison, and system documentation.

Project Engineer

Madison, WI ยท On-site +1

$115K/yr

Prepare and review technical analyses, engineering documents, and project deliverables. * Review vendor drawings and participate in design reviews. * Assist with permitting, utility coordination, and ...

Project Engineer

Madison, WI ยท On-site

$115K/yr

Prepare and review technical analyses, engineering documents, and project deliverables. * Review vendor drawings and participate in design reviews. * Assist with permitting, utility coordination, and ...

... analytical Engineering Assistant to support engineering operations through technical data ... In addition to data analysis and vendor coordination, you will draft Standard Operating Procedures ...

... analytical Engineering Assistant to support engineering operations through technical data ... In addition to data analysis and vendor coordination, you will draft Standard Operating Procedures ...

New

BI Visualization Engineer

Oregon, WI ยท On-site

$104K - $174K/yr

... engineer will be a champion of both. In this role, you'll shape how SAIF tells our story through ... In simpler terms, you will help shape the future of analytics at SAIF. To succeed in this role, you ...

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Showing results 1-20

Analytic Developer information

See Madison, WI salary details

$40.3K

$130.3K

$159.7K

How much do analytic developer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for analytic developer in Madison, WI is $130,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $158,200.00 per year, depending on experience, location, and employer.

What is an analytic developer?

An Analytic Developer is a professional who designs, develops, and maintains data analytics solutions, such as dashboards, reports, and data models. They work with large datasets, using programming languages and analytics tools to transform raw data into actionable insights for businesses. Analytic Developers collaborate with data scientists, business analysts, and stakeholders to understand requirements and deliver effective data-driven solutions. Their role often involves both technical skills in data processing and a strong understanding of business objectives.

What skills and qualifications are needed to thrive as an analytic developer?

To thrive as an Analytic Developer, you need strong analytical skills, proficiency in data modeling, and experience with programming languages such as SQL, Python, or R, often supported by a relevant degree in computer science, mathematics, or statistics. Familiarity with business intelligence tools (like Tableau or Power BI), data warehousing systems, and sometimes certifications in analytics or cloud platforms are typically required. Problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating data insights into actionable solutions. These skills and qualities are essential for extracting meaningful insights from complex data sets and enabling data-driven decision-making within organizations.

How does an analytic developer typically collaborate with data scientists and business stakeholders during a project?

Analytic Developers often serve as a bridge between data scientists, who design statistical models, and business stakeholders, who use the insights for decision-making. In a typical project, the Analytic Developer works closely with data scientists to translate algorithms into scalable, production-ready code, and partners with stakeholders to gather requirements and refine deliverables. They also help ensure that data pipelines and visualization tools are aligned with business needs, facilitating smooth communication and efficient project execution.

What is the difference between Analytic Developer vs Data Analyst?

AspectAnalytic DeveloperData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, R skillsBachelor's in Statistics, Math, or related; SQL, Excel, data visualization skills
Work EnvironmentDevelops analytics tools, dashboards, and data pipelines; often in tech or finance sectorsAnalyzes data sets, creates reports, and visualizations; in various industries including marketing and healthcare
Employer & Industry UsageUsed by companies needing custom analytics solutions and data infrastructureCommon in organizations requiring data insights and reporting

While both roles involve working with data, Analytic Developers focus on building analytics tools and data pipelines, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights. The roles overlap in skills like SQL and data handling but differ in their core responsibilities and technical depth.

ServiceNow Developer (Analyst/Developer - Generic 2)

Madison, WI โ€ข On-site

CoSourcing Partners Inc.
51 - 200 employees

$54.50 - $74.75/hr

Other

Posted 12 days ago


Job description

ServiceNow Developer (Analyst/Developer โ€“ Generic 2)
  • Madison, Wisconsin

Position: Analyst/Developer โ€“ Generic 2 (ServiceNow Developer)

Company: Confidential

Location: Onsite โ€“ Madison WI

Employment Type: Full-Time

Experience Level: 2โ€“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 handsโ€‘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, youโ€™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 fastโ€‘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 forwardโ€‘looking team that values innovation and crossโ€‘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. 1. Deliver Secure and Scalable ServiceNow Enhancements (First 90โ€“120 Days) Design and implement new features, modules, and enhancements within ServiceNow, with a strong emphasis on scalability, performance, and security. Focus on highโ€‘priority business use cases related to ITSM and SecOps. Ensure all solutions align with best practices, organizational goals, and governance policies, delivering productionโ€‘ready features with minimal rework.
  2. 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. 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 midโ€‘server configurations are functioning as intended, minimizing outages and data discrepancies.

Critical Subtasks

  1. 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. 2. Write, Review, and Maintain Custom Scripts and Workflows Author and maintain highโ€‘quality serverโ€‘side and clientโ€‘side scripts (e.g., Business Rules, Script Includes, UI Policies). Within 90 days, deliver at least two custom workflows supporting business automation or selfโ€‘service enhancements.
  3. 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 postโ€‘deployment defects by at least 75% over the first three release cycles.
  4. 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 storyโ€‘based agile methods.
  5. 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. 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. 7. Continuously Evaluate and Integrate AI to Improve Performance Within the first 90โ€“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.
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