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Learning Analytics Jobs in Ontario (NOW HIRING)

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VP, Global Talent

Toronto, ON

The scope of this role includes leadership of a global team spanning talent management, talent acquisition enablement, learning and development, engagement and analytics, future ways of working, as ...

Indigo

Director, Talent Development

Toronto, ON

IT teams supporting learning systems and analytics * Internal communications and change management External: * Learning and leadership development partners and vendors * Professional Networks and ...

New

Achievers

Learning Experience Specialist

Toronto, ON · On-site

As a Learning Experience Specialist, you are responsible for developing and producing high-quality ... applications or analyzing resumes. These tools help our recruitment team but never replace ...

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All JobsLearning Analytics JobsLearning Analytics Jobs in Ontario

Learning Analytics information

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$11

$52

$82

How much do learning analytics jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for learning analytics in Ontario is $52.01, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $65.87 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 popular job titles related to Learning Analytics jobs in Ontario? For Learning Analytics jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Learning Analytics jobs in Ontario look for? The top searched job categories for Learning Analytics jobs in Ontario are:
Learning Analytics jobs near you
Manager/Sr. Manager - Customer / Digital Marketing Analytics (Retail/CPG)

Manager/Sr. Manager - Customer / Digital Marketing Analytics (Retail/CPG)

Tiger Analytics Inc.

Toronto, ON

Full-time

Posted 14 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership.

The ideal candidate will combine analytical rigor with strong storytelling skills to drive decision-making across marketing, customer, and retail functions.

Key Responsibilities

  • Perform deep-dive analysis on digital/web and business data to generate actionable insights
  • Deliver quick turnaround analysis to support fast-paced business decision-making
  • Analyze customer behavior, campaign performance, and retail trends to identify growth opportunities
  • Drive use cases across Retail, Marketing, and Customer Analytics
  • Translate complex data into clear, compelling narratives and executive-ready presentations
  • Partner with cross-functional teams including Marketing, Product, and Business stakeholders
  • Design, develop, and track KPIs, dashboards, and performance metrics
  • Support Marketing in campaign planning, A/B testing, and performance measurement
  • Identify trends, patterns, and anomalies in large datasets to support strategic decisions
  • Ensure data accuracy, consistency, and robust quality checks across all analyses
  • Build strong relationships with Marketing leadership, including the CMO, to understand business goals, gaps, and customer strategy
  • Align data and analytics initiatives with the overall marketing vision and roadmap
  • Define and drive the analytics development roadmap in collaboration with technical teams

Requirements

  • 8-14 years of experience in Business/Digital Analytics, with a strong focus on Customer & Marketing Analytics within the Retail (Grocery preferred) domain
  • Strong expertise in Retail, Digital Marketing, Campaign Design, and Marketing Performance Measurement, including exposure to AI/ML-driven campaigns
  • Robust techno-functional skillset with experience in digital transformation and strategy consulting
  • Strong proficiency in SQL, along with experience in data visualisation tools such as Power BI or Tableau
  • Familiarity with web analytics tools (e.g., Google Analytics) and working knowledge of Python or R
  • Proven ability to analyse large, complex datasets, generate insights, and translate them into actionable business recommendations
  • Exceptional storytelling and communication skills, with the ability to present insights to senior and non-technical stakeholders
  • Strong problem-solving skills with the ability to navigate ambiguity and work in fast-paced, quick turnaround environments
  • Demonstrated ability to collaborate cross-functionally, manage multiple priorities, and influence stakeholders with strong executive presence

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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