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Digital Analytics Developer Jobs in Wisconsin (NOW HIRING)

Ra

Marketing Analytics Manager

Milwaukee, WI · On-site

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 ...

Faith Technologies Inc.

Digital Analyst II

Menasha, WI · Hybrid

$100K - $119K/yr

Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares ... The Digital Analyst II delivers a range of modern technology solutions while and implementing best ...

Faith Technologies

Digital Analyst II

Menasha, WI · Hybrid

$100K - $119K/yr

Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares ... The Digital Analyst II delivers a range of modern technology solutions while and implementing best ...

Actalent

Digital Design Engineer (FPGA)

Milwaukee, WI · On-site

$100K - $150K/yr

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 ...

Sanford Health

Quality Data Analyst

Marshfield, WI · On-site

$24/hr

No Department Details The Data Engineering team is a collaborative, fun and dynamic group. We ... Utilize outside sources, including social media and digital analytics, to monitor online engagement ...

TOTAL Deutschland GmbH

WI · On-site

$70 - $90/hr

Leading digital culture -- Lead and animate the local digital community, fostering knowledge ... Documenting requirements -- Collect, analyze, and formalize current and future business needs to ...

Jobtailor

WI · On-site

$110 - $140/hr

... developers, and management * Strong organizational skills with a high attention to detail ... Strong analytical and problem‑solving skills * Instructional design or learning and development ...

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Digital Analytics Developer information

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 are popular job titles related to Digital Analytics Developer jobs in Wisconsin?

For Digital Analytics Developer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Digital Analytics Developer jobs in Wisconsin look for?

The top searched job categories for Digital Analytics Developer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Digital Analytics Developer jobs?

Cities in Wisconsin with the most Digital Analytics Developer job openings:

Digital Analytics Developer jobs near you

Digital Personalization Analytics Expert (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Re-posted 23 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,470 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

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

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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