Associate Marketing Analyst, Summer 2026

<p>The Associate Marketing Analyst Intern supports our Analytics craft by analyzing marketing and business performance data to generate clear, actionable insights. This role focuses on structured analysis, data validation, and insight development across pharmaceutical and healthcare brands. The position offers hands-on experience working with real-world datasets in a regulated industry. Success is measured by analytical accuracy, clarity of insights, and ability to communicate findings in structured formats.</p><p><u>Internship Term</u>: May - August, 2026</p><p><strong>What You’ll Do</strong></p><ul><li>Analyze structured datasets using Excel, SQL, or statistical tools to identify trends, correlations, and performance drivers.</li><li>Develop dashboards and reports in Tableau, Power BI, or similar platforms to visualize KPIs and campaign outcomes.</li><li>Support marketing effectiveness analyses, including ROI calculations and contribution analysis, in collaboration with senior analysts.</li><li>Prepare client-ready presentations in PowerPoint or Google Slides summarizing methodology, findings, and recommendations.</li><li>Maintain data integrity through quality checks, documentation, and version control processes.</li></ul> <p><strong>Required:</strong></p><ul><li>Graduating by April 2026 or graduated within the past two years in Statistics, Data Science, Applied Mathematics, Marketing Analytics, Economics, or related quantitative field.</li><li>Demonstrated experience conducting quantitative analysis (e.g., regression, forecasting, hypothesis testing) through coursework or applied projects with clearly documented methodology and results.</li><li>Hands-on experience with Excel (formulas, pivot tables, data cleaning) and exposure to SQL or structured database concepts, including writing basic queries against relational tables.</li><li>Experience building at least one dashboard or data visualization project using Tableau, Power BI, or equivalent tool with defined KPIs and structured outputs.</li><li>Experience building or maintaining simple data pipelines (e.g., extract/load processes, basic transformations), understanding relational tables and keys, implementing data quality checks, and demonstrating willingness to learn modern tools (e.g., data warehouses, dbt, Git).</li><li>Ability to write basic Python for data wrangling or automation tasks, using AI tools responsibly to draft code efficiently and validating outputs through tests, spot checks, and clear documentation.</li><li>Comfort and enthusiasm for using AI as a regular part of how work gets done.</li></ul><p><strong>Desired:</strong></p><ul><li>Coursework or project experience in marketing effectiveness, attribution modeling, or media mix modeling.</li><li>Exposure to web analytics platforms (e.g., Google Analytics, Adobe Analytics) through coursework or internships.</li><li>Experience collaborating on structured team projects with defined roles and deadlines.</li><li>Demonstrated attention to detail in data validation, documentation, and analytical workflows.</li></ul> <p>This posting is for a newly created role at Klick. The base salary for this position is CAD 60,000 and will be determined based on several factors such as a candidate’s work location, their unique skill set, education, and prior experience.</p><div sr-tagline=""></div><p><em><strong>Our Commitment to Inclusion</strong><br> <br> Klick uses an AI-powered tool as part of an automated process to support our hiring process by analyzing your experience, skills, and qualifications to help identify alignment with role requirements. Please note that the tool does not make final decisions or automatically disqualify candidates. Hiring decisions are made by our team, with thoughtful human judgment and oversight. We are committed to fair and transparent hiring practices and have implemented safeguards to help mitigate bias and support compliance with applicable laws. If you have questions, accessibility needs ... (truncated, view full listing at source)