Data Visualization Jobs in Calgary, AB (NOW HIRING)

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The Training Evaluation & Measurement Analyst is responsible for assessing the effectiveness and impact of learning programs by supporting the design of measurement strategies, analyzing training data, and providing actionable insights to improve learning outcomes and business performance. This role works closely with course owners, SMEs, and stakeholders to ensure training delivers measurable value.

Data Collection & Analysis

• Collect and validate data from multiple sources (e.g., LMS, surveys, assessments)
• Analyze quantitative and qualitative data to identify trends, gaps, and improvement opportunities
• Perform statistical analysis (e.g., pass rates, item difficulty, distractor analysis) to assess assessment quality
  

Reporting & Insights

• Review dashboards and reports to communicate training performance and outcomes
• Translate data into clear, actionable insights for course owners and stakeholders
• Provide recommendations for course improvements based on findings
  

Continuous Improvement

• Monitor training effectiveness throughout the lifecycle (pre-, during, and post-delivery)
• Partner with SMEs and course owners to refine content, assessments, and delivery methods
• Support post-course evaluations and follow-up analysis (e.g., behavior and performance impact) 

As a Training Evaluation & Measurement Analyst, you will play a key role in helping KPMG Business School understand and improve the effectiveness of its learning programs. Working closely with course owners, subject matter experts (SMEs), and other stakeholders, you will transform learning data into meaningful insights that drive better learning experiences and business outcomes.
In this role, you will:

• Collect, validate, and analyze data from multiple sources, including learning management systems, surveys and assessments.
• Identify trends, patterns, learning gaps, and opportunities for improvement through quantitative and qualitative analysis.
• Conduct measurement and evaluation activities, including assessment analysis, learner feedback reviews, pass rate analysis, item difficulty reviews, and other evaluation methodologies.
• Maintain reporting dashboards and metrics to monitor learning effectiveness and learner performance.
• Translate complex data into clear, actionable insights and recommendations for stakeholders and course owners.
• Support the evaluation of learning initiatives throughout the training lifecycle, from pre-deployment through post-course analysis.
• Collaborate with course owners and SMEs to identify opportunities to improve course content, assessments, learner engagement, and overall learning impact.
• Contribute to the development and continuous improvement of evaluation frameworks, measurement strategies, and reporting standards.
• Support the preparation and presentation of findings, recommendations, and evaluation results to various stakeholders.
• Assist with special projects and initiatives related to learning analytics, measurement, and continuous improvement.

You are a curious and analytical professional who enjoys turning data into meaningful insights. You have a passion for learning and development and are motivated by the opportunity to improve learning experiences through evidence-based decision-making.
You bring:

• 3 years experience in learning analytics, training evaluation, data analysis, research, or a related field.
  
• Strong analytical and problem-solving skills, with the ability to identify trends, interpret data, and make practical recommendations.
  
• Experience working with data visualization and reporting tools such as Excel, Power BI, Tableau, or similar platforms.
  
• Knowledge of learning measurement and evaluation methodologies, such as the Kirkpatrick Model or other evaluation frameworks, is an asset.
  
• Strong attention to detail and commitment to data accuracy and quality.
  
• Excellent verbal and written communication skills, with the ability to present findings to both technical and non-technical audiences.
  
• Ability to manage multiple priorities and work effectively in a fast-paced, collaborative environment.
  
• Strong stakeholder management and relationship-building skills, with the ability to work across teams and influence decision-making through data-driven insights.
  
• Experience working with Learning Management Systems (LMS) and learning technologies is considered an asset.
  
• A continuous improvement mindset and a passion for enhancing learning outcomes through measurement and evaluation.
  

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $55,000 to $82,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information

The expected base salary range for this position is $55,000 to $82,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

You are a curious and analytical professional who enjoys turning data into meaningful insights. You have a passion for learning and development and are motivated by the opportunity to improve learning experiences through evidence-based decision-making.
You bring:

• 3 years experience in learning analytics, training evaluation, data analysis, research, or a related field.
  
• Strong analytical and problem-solving skills, with the ability to identify trends, interpret data, and make practical recommendations.
  
• Experience working with data visualization and reporting tools such as Excel, Power BI, Tableau, or similar platforms.
  
• Knowledge of learning measurement and evaluation methodologies, such as the Kirkpatrick Model or other evaluation frameworks, is an asset.
  
• Strong attention to detail and commitment to data accuracy and quality.
  
• Excellent verbal and written communication skills, with the ability to present findings to both technical and non-technical audiences.
  
• Ability to manage multiple priorities and work effectively in a fast-paced, collaborative environment.
  
• Strong stakeholder management and relationship-building skills, with the ability to work across teams and influence decision-making through data-driven insights.
  
• Experience working with Learning Management Systems (LMS) and learning technologies is considered an asset.
  
• A continuous improvement mindset and a passion for enhancing learning outcomes through measurement and evaluation.
  

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $55,000 to $82,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information

The expected base salary range for this position is $55,000 to $82,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best