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Learning Analytics Jobs in Delafield, WI (NOW HIRING)

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

Additional duties include leading advanced analytics projects with machine learning and AI for tasks like predictive maintenance, maintaining data quality and compliance, mentoring junior analysts ...

Varsity Tutors

Business Analytics Tutor

Milwaukee, WI · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Varsity Tutors

Machine Learning Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Macmillan Learning

Sales Specialist, STEM

Milwaukee, WI · On-site

$80K - $90K/yr

Strong interest in and working knowledge of emerging educational technologies (e.g., AI-enhanced learning tools, classroom engagement platforms, student performance analytics). * Demonstrated success ...

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How much do learning analytics jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for learning analytics in Delafield, WI is $37.90, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $41.49 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Learning Analytics position, and why are they important?

To thrive in Learning Analytics, you need strong analytical skills, experience with data analysis, and a background in educational research or instructional design, typically supported by a relevant degree. Familiarity with Learning Management Systems (LMS), statistical tools like R or Python, and certifications in data analytics are commonly expected. Excellent communication skills, problem-solving abilities, and a collaborative mindset help professionals convey insights and work effectively with educators and administrators. These skills are essential for interpreting educational data, driving improvements in teaching and learning, and supporting data-driven decisions in academic environments.

What is a Learning Analytics job?

A Learning Analytics job involves collecting, analyzing, and interpreting data related to learners' performance and educational experiences. Professionals in this field use data-driven insights to improve teaching strategies, personalize learning experiences, and enhance institutional decision-making. They work with various analytical tools, machine learning models, and data visualization techniques to identify patterns and trends. This role is common in educational institutions, corporate training programs, and EdTech companies.

What are typical daily responsibilities for someone working in Learning Analytics?

Professionals in Learning Analytics typically spend their days collecting, cleaning, and analyzing educational data to identify patterns that can improve student outcomes and learning processes. They work closely with faculty, instructional designers, and IT teams to generate reports, visualize trends, and advise on data-backed strategies for curriculum improvement. Day-to-day tasks also involve maintaining data integrity, developing dashboards, and communicating findings in accessible ways to stakeholders. Collaboration and ongoing learning are integral, as the field continually evolves with advances in education technology and analytical methods.

What cities near Delafield, WI are hiring for Learning Analytics jobs? Cities near Delafield, WI with the most Learning Analytics job openings:
Learning Analytics jobs near you
Manager, Personalization Analytics

Manager, Personalization Analytics

KOHLS

Menomonee Falls, WI • On-site

Other

Posted 27 days ago

Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,447 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

Job Duties: 

• Use big data and advanced analytical techniques to optimize customer engagement and lifetime value • Utilize customer-level 1:1 analysis and modeling for targeting initiatives 

• Play a lead role in consolidating learnings towards personalization initiatives that help make data based targeting more potent over time 

• Oversee the activation of tests, ensuring essential model runs, segmentation and timelines are  provided to key stakeholders 

• Ensure relevant analytics assets and tests are documented, and insights are captured • Manage and influence direct reports, systems and projects to achieve unit goals per Kohl’s policies  and practices 

• Provide leadership by exhibiting influence and expertise and driving results 

• Create and promote an effective work environment by developing a common vision, setting clear  objectives, expecting teamwork, recognizing outstanding performance and maintaining open  communications 

• Develop staff through coaching, providing performance feedback, providing effective performance  assessments and establishing performance and development plans 

• Influence, collaborate and partner with teams and leaders across the organization 

Required Minimum Position Qualifications: Master’s degree in Statistics, Data Science, Business Analytics  and Information Management, or related field of study and 2 years of experience in the job offered or  any related occupation in which the required experience was gained. In lieu of a Master’s degree in  Statistics, Data Science, Business Analytics and Information Management, or related field of study, the  employer will also accept a Bachelor’s degree in Statistics, Data Science, Business Analytics and  Information Management, or related field of study and 5 years of experience in the job offered or any  related occupation in which the required experience was gained. 

Position also requires demonstrated experience in the following: 

• Using Python, R, on cloud servers to explore business performance data to create insight.  Methods can include clustering, market basket analysis, regression analysis, and descriptive  analysis 

• Scaling predictive models and optimization algorithms for marketing use cases • Machine learning theory and techniques used for creating predictive models, including  understanding of gradient boosting techniques and loss functions. 

• Creating personalization models to improve targeting across channels 

• Developing and applying A/B testing frameworks to test model and marketing strategy  effectiveness, proficient in a variety of bias correction methods and apply according to the  specific situation 

• Creating reports about model/analysis results using data visualization with tools such as  Google slides/worksheet, Tableau, Looker, Streamlit, or Power BI

• Data ETL (extract, transform, load) with SQL or Google Big query, to pull and analyze large  and complex datasets, proficient in advanced syntaxes. 

To Apply: To apply, email resume to new.talent@kohls.com, OR submit a resume to  https://jobcenterofwisconsin.com/Login.aspx, OR submit a resume to https://careers.kohls.com/.  Must reference Job Title & Job Code: 000252. 

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