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Learning Analytics Jobs in Chicago, IL (NOW HIRING)

Culligan

Learning Coordinator

Rosemont, IL · On-site

$55K - $65K/yr

The Learning Coordinator supports the planning, development, delivery, and evaluation of learning ... Collect and analyze learner feedback to identify opportunities for improving training content and ...

Northwestern University

Learning Engineer

Evanston, IL · On-site

$72K - $86K/yr

IT Teaching & Learning Tech Salary/Grade: ITS/78 Target hiring range for this position will be ... and analysis to the cooperative development work of instructors, educational technology support ...

Chubb

Learning Technologies Specialist, Sr

Chicago, IL · On-site

Analyze and communicate the metrics of learning effectiveness; run reports out of the LMS and analyze using advanced Excel skills to provide feedback and recommendations to management for ongoing ...

City Staffing

Learning Experience Designer

Chicago, IL · Hybrid

$45 - $50/hr

Provide expertise in the analysis, design and development of learning solutions. Facilitate processes to analyze content, target audience, and learner environment to identify appropriate learning ...

ZS

Senior Talent Associate

Chicago, IL · On-site

$95K - $110K/yr

Supporting learning analytics workstreams that connect capability activation to business performance outcomes. * Assisting in the design of coaching programs and leadership development solutions that ...

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Learning Analytics information

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$23

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$62

How much do learning analytics jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for learning analytics in Chicago, IL is $40.71, according to ZipRecruiter salary data. Most workers in this role earn between $29.71 and $44.57 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 4 types of learning analytics?

Learning analytics can be categorized into four types: descriptive analytics, which analyze past learning data; diagnostic analytics, which identify reasons for learning outcomes; predictive analytics, which forecast future performance; and prescriptive analytics, which recommend actions to improve learning. These types help educators and analysts understand and enhance educational experiences using data analysis tools and techniques.

Is AI replacing data analysts?

Learning Analytics professionals analyze educational data to improve learning outcomes and often use AI tools to automate data processing and generate insights. While AI can handle routine tasks, data analysts are still essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI complements their work but does not fully replace the need for skilled analysts in the field.

Is 40 too late for data science?

Learning Analytics is a field that values skills and experience over age; many professionals transition into data science at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Age should not be a barrier to entering data-driven roles if you focus on continuous learning and building a strong portfolio.

What does a learning analyst do?

A learning analyst evaluates educational data to improve learning outcomes by analyzing student performance, engagement, and instructional effectiveness. They use data analysis tools and techniques to identify trends and recommend strategies for curriculum development, often working with learning management systems and reporting software.
What are the most commonly searched types of Learning Analytics jobs in Chicago, IL? The most popular types of Learning Analytics jobs in Chicago, IL are:
What are popular job titles related to Learning Analytics jobs in Chicago, IL? For Learning Analytics jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Learning Analytics jobs in Chicago, IL look for? The top searched job categories for Learning Analytics jobs in Chicago, IL are:
Learning Analytics jobs near you
Sr. Consultant/Manager - Analytics Consulting - Banking

Sr. Consultant/Manager - Analytics Consulting - Banking

Tiger Analytics Inc.

Riverwoods, IL • On-site

Full-time

Posted 3 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.
The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.
Responsibilities-
1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.
2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.
Requirements
  1. 5+ years of experience in consulting, analytics, risk management roles.
  2. Demonstrated hands-on or solution design experience with Data Science/ Machine Learning algorithms.
  3. Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.
  4. Experience with model validation and regulatory compliance related to credit risk, market risk, AML.
  5. Exceptional analytical and problem-solving skills, with a strong attention to detail.
  6. Excellent communication skills, with the ability to articulate complex concepts to non-technical stakeholders.
  7. Hands on Experience in Data science aspects of Forecasting Models like feature engineering, model selection and model application.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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