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Learning Analytics Jobs in Wisconsin (NOW HIRING)

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

At Baird, you'll find a supportive culture centered on teamwork, continuous learning, and making a ... Perform data analysis and profiling to understand source data and support quality outcomes

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

At Baird, you'll find a supportive culture centered on teamwork, continuous learning, and making a ... Perform data analysis and profiling to understand source data and support quality outcomes

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

At Baird, you'll find a supportive culture centered on teamwork, continuous learning, and making a ... Perform data analysis and profiling to understand source data and support quality outcomes

Wisconsin

Learning Center Specialist

Oshkosh, WI

$50K/yr

Learning Center Specialist Job Category: Academic Staff Employment Type: Regular Job Profile ... Analyze impact of training and tutor performance in collaboration with the Director and staff; make ...

Serve Robotics

$225K - $260K/yr

Analyze training metrics, model outputs, and experiment logs to assess model performance and guide ... Hands-on experience training machine learning models across multiple GPUs or compute nodes ...

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How much do learning analytics jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for learning analytics in Wisconsin is $39.89, according to ZipRecruiter salary data. Most workers in this role earn between $29.13 and $43.65 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 are the most commonly searched types of Learning Analytics jobs in Wisconsin? The most popular types of Learning Analytics jobs in Wisconsin are:
What are popular job titles related to Learning Analytics jobs in Wisconsin? For Learning Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Learning Analytics jobs in Wisconsin look for? The top searched job categories for Learning Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Learning Analytics jobs? Cities in Wisconsin with the most Learning Analytics job openings:
Learning Analytics jobs near you
Infographic showing various Learning Analytics job openings in Wisconsin as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $82,962 per year, or $39.9 per hour.
Data & Analytics Engineer

Data & Analytics Engineer

Baird

Milwaukee, WI • On-site

$112K - $135K/yr

Full-time

Posted 13 days ago

Baird rating

8.5

Company rating: 8.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

About the Role:
Are you energized by transforming complex financial services data into meaningful insights that influence real business decisions? Do you enjoy blending hands-on technical work with close collaboration across business teams? Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?
As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial services data is structured, transformed, and delivered to drive smarter decision-making across the firm. You'll contribute to building scalable, high-quality data solutions while partnering closely with stakeholders to turn evolving business needs into actionable insights.
This is an excellent opportunity for a data professional who thrives in a collaborative, agile environment and enjoys solving complex problems while delivering incremental value. You'll gain exposure to modern data tools and practices, work alongside experienced engineers and architects, and continuously grow your technical and business acumen.
This position is hybrid, offering a combination of 2 day/week remote work and 3 days/week in our collaborative downtown Milwaukee workspace. At Baird, you'll find a supportive culture centered on teamwork, continuous learning, and making a meaningful impact through data.
The Impact You'll Make:
Data Engineering & Data Management:
  • Contribute to the design, build, and maintenance of data pipelines that ingest and transform financial services data
  • Apply data modeling skills (3NF and dimensional) to support analytics-ready datasets
  • Perform data analysis and profiling to understand source data and support quality outcomes
  • Develop and validate source-to-target mappings and transformation logic
  • Implement and test end-to-end data solutions under the guidance of senior engineers
  • Follow established practices to ensure sensitive data is protected and handled appropriately

Analytics Enablement & Delivery:
  • Support data discovery efforts and help prototype datasets that bring together multiple data sources
  • Leverage existing tools to enable reporting and visualization for financial services users
  • Document datasets and transformations to support usability and adoption
  • Deliver work incrementally while balancing changing priorities

Collaboration, Learning & Growth:
  • Collaborate with delivery team members, architects, and business partners
  • Communicate clearly about progress, risks, and dependencies
  • Learn and apply Baird data standards, tools, and best practices
  • Seek feedback and coaching from senior Data & Analytics Engineers
  • Continuously build skills through training, documentation, and hands-on experience

What You'll Bring to Baird:
  • 5-7 years of experience delivering data and analytics solutions in a collaborative environment
  • Experience in data engineering, analytics engineering, business intelligence development, or a related data-focused role
  • Strong SQL skills and familiarity with relational database concepts and best practices
  • Experience performing data analysis, profiling, validation, and troubleshooting to support reliable data solutions
  • Ability to partner effectively with business stakeholders to understand requirements and support analytics needs
  • Strong problem-solving skills, intellectual curiosity, and a desire to continuously grow technical expertise
  • Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and Azure Data Lake
  • Experience with data integration tools such as SSIS, dbt, Azure Data Factory, or similar technologies
  • Experience writing queries and developing solutions using SQL, T-SQL, Azure Data Studio, or similar tools
  • Familiarity with BI and analytics tools such as Power BI, Alteryx, or comparable platforms
  • Working knowledge of data modeling and governance concepts, including 3NF, dimensional modeling, data mapping, data profiling, and data quality practices
  • Experience working with common data formats such as CSV, JSON, XML, and Parquet
  • Experience working in a regulated or data-sensitive environment is preferred
  • Bachelor's degree in Computer Science, MIS, Business Administration, Finance, or equivalent experience

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