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Digital Analytics Developer Jobs in South Milwaukee, WI

You will be using quantitative methods to assess the impact of offline and digital marketing. You ... Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing ...

Digital Design Engineer This role focuses on designing, implementing, and validating FPGA-based ... Use Matlab and Simulink to model and analyze electrical power systems and support the development ...

Digital Product Manager - Growth Boelter | Pewaukee, WI | Full-Time Belong to the Boelter community ... engineering * Lead a continuous experimentation roadmap using analytics, heatmaps, and user ...

The Digital Business Systems Analyst is responsible for performing business systems analysis and ... Experience in writing stories in an agile tool such as Jira or DevOps * Experience with CRM systems ...

Digital Strategy Lead

Mount Pleasant, WI · On-site

$139K - $159K/yr

Work with analysts and technical teams to develop and deploy dashboards, data models, and ... Bachelor's degree in Engineering, Construction Management, Information Systems, or a related field.

Digital Strategy Lead

Mount Pleasant, WI · On-site

$139K - $159K/yr

Work with analysts and technical teams to developand deploydashboards, data models, and governance ... Bachelor's degree in Engineering, Construction Management, Information Systems, ora relatedfield.

This role combines expertise in SEO, content strategy, website experience, analytics, email ... Partner with content strategists, copywriters, designers, developers, media teams, and account ...

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Digital Analytics Developer information

See South Milwaukee, WI salary details

$15

$45

$84

How much do digital analytics developer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for digital analytics developer in South Milwaukee, WI is $45.07, according to ZipRecruiter salary data. Most workers in this role earn between $24.33 and $58.46 per hour, depending on experience, location, and employer.

What is a digital analytics developer?

A Digital Analytics Developer is a professional who implements, manages, and optimizes analytics solutions on digital platforms, such as websites and mobile apps. They work with tools like Google Analytics, Adobe Analytics, and tag management systems to collect and analyze user data. Their role involves creating and maintaining tracking codes, ensuring accurate data capture, and providing insights that support business decisions. Digital Analytics Developers often collaborate with marketing, design, and engineering teams to improve digital performance and user experience.

What are the key skills and qualifications needed to thrive as a digital analytics developer?

To thrive as a Digital Analytics Developer, you need a strong background in web development, JavaScript, data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools like Google Analytics, Adobe Analytics, Tag Management Systems (e.g., Google Tag Manager), and data visualization platforms is crucial. Attention to detail, problem-solving abilities, and effective communication set high performers apart in this role. These skills and qualities are essential for ensuring accurate data collection, insightful analysis, and clear reporting that drive data-driven decision-making for organizations.

How does a digital analytics developer typically collaborate with marketing and IT teams?

Digital Analytics Developers often act as a bridge between marketing and IT teams, ensuring that web analytics tools are properly implemented and data is accurately captured across digital platforms. They work closely with marketers to understand campaign goals and reporting needs, translating those requirements into technical specifications. At the same time, they coordinate with IT or web development teams to integrate tracking codes, troubleshoot data discrepancies, and maintain data integrity. Strong communication skills and a collaborative mindset are essential, as this role frequently involves explaining technical concepts to non-technical stakeholders.

What is the difference between Digital Analytics Developer vs Data Analyst?

AspectDigital Analytics DeveloperData Analyst
Required CredentialsBachelor's in Computer Science, Analytics, or related field; knowledge of analytics tools and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentDevelops and implements analytics solutions, often within marketing or IT teamsAnalyzes data sets to generate insights, typically across various departments
Employer & Industry UsageUsed in digital marketing, e-commerce, and tech companies for tracking user behaviorCommon across finance, healthcare, and business sectors for decision support

While both roles involve working with data, a Digital Analytics Developer primarily focuses on creating and maintaining analytics tools and tracking systems, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap but serve different functions within data-driven organizations.

What cities near South Milwaukee, WI are hiring for Digital Analytics Developer jobs?

Cities near South Milwaukee, WI with the most Digital Analytics Developer job openings:

Digital Personalization Analytics Expert (Remote)

Menomonee Falls, WI • On-site


KOHLS
Retail • 10K+ employees

5.8

Company rating: 5.8 out of 10

Based on 1,471 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

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Re-posted 23 days ago


Job description

This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays.

About the Role

In this role you will ensure the creation of best-in-class digital experiences for Kohl’s customers using advanced analytics geared toward diagnostics, customer-level 1:1 modeling and in-market testing.

What You’ll Do

  • Leverage large-scale data and advanced analytics to optimize digital customer engagement and lifetime value

  • Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment

  • Drive consolidation of insights across digital initiatives to continuously enhance data-driven targeting and personalization strategies

  • Oversee test design and activation, ensuring model execution, audience segmentation and timelines are delivered effectively to stakeholders

  • Establish rigorous documentation standards for analytics assets, experiments and insights to enable knowledge sharing and scalability

  • Mentor junior data scientists, providing technical guidance and fostering a culture of continuous learning and excellence

  • Represent the Data Science team in cross-functional forums, independently communicating methodologies, results and strategic implications

  • Champion production-grade machine learning practices, promoting scalable code and robust deployment standards

  • Stay current on emerging data science methodologies and technologies, identifying and driving innovation opportunities that create business impact

  • Establish and maintain strong working relationships and achieve results by working collaboratively with others

  • Additional tasks may be assigned

What Skills You Have

Required

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field

  • 5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience

  • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Expert in using modern analytics tools, programming languages and cloud platforms (Python, R, Spark, SQL, GCP, etc.), as well as version control systems such as GitHub

  • Strong problem-solving skills with experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Experience with data visualization technologies such as Streamlit, R Shiny, Looker, Qlik, Tableau, etc.

Preferred

  • Master's degree and/or Ph.D.

  • Digital / Ecommerce data science experience

  • Retail and Marketing experience



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