Data Solutions Analyst, Summer 2026

<p>The Data Solutions Analyst Intern supports analytics workflows and data discovery within client engagements; contributes to building reliable datasets, insights, and reporting assets. Success is measured by code quality, analytical rigor, delivery reliability, and the ability to translate technical outputs into actionable insights.</p><p><strong>What You’ll Do</strong></p><ul><li>Clean, transform, and validate structured and unstructured datasets using SQL and Python to support feature engineering and analysis.</li><li>Prototype and evaluate machine learning or statistical models using libraries such as scikit-learn, PyTorch, or TensorFlow, documenting performance metrics and trade-offs.</li><li>Contribute to data pipeline development and hardening using reproducible workflows, version control, and testing practices.</li><li>Package and support deployment of models or analytics solutions through containerization, simple APIs, or structured hand-offs to engineering teams.</li><li>Document notebooks, scripts, and workflows and present technical and non-technical summaries to cross-functional stakeholders.</li></ul> <p><strong>Required:</strong></p><ul><li>Currently enrolled in <strong>or</strong> graduated within the last 2 years from an undergraduate<strong>, </strong>Master’s, or PhD program in <strong>Data Science</strong>, <strong>Computer Science</strong>, <strong>Business Analytics</strong>, <strong>Statistics</strong>, or related field.</li><li>Demonstrated proficiency in Python with applied use of libraries such as pandas and scikit-learn through academic or project-based work.</li><li>Strong SQL skills demonstrated through complex queries involving joins, aggregations, and transformations on structured datasets.</li><li>Applied understanding of supervised learning, evaluation metrics, and cross-validation demonstrated through coursework or model development projects.</li><li>Experience producing reproducible analyses using version control (e.g., Git) and communicating findings to both technical and non-technical audiences.</li></ul><p><strong>Desired:</strong></p><ul><li>Comfort and enthusiasm for using AI as a regular part of how work gets done.</li><li>Experience with cloud data platforms (e.g., Microsoft Fabric, BigQuery, Snowflake, AWS/GCP/Azure</li><li>Exposure to healthcare, pharmaceutical, clinical analytics, or life sciences data is a strong asset</li><li>Experience with front-end development (e.g., Node.js and/or modern web frameworks) is a nice-to-have and may support certain client deliverables</li></ul> <p>This posting is for a newly created role at Klick. The base salary for this position is CAD 65,000 - 70,000 per year 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, or concerns about the use of this tool, please contact us. Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of color, people with disabilities, people from gender and sexually diverse communities and people with ... (truncated, view full listing at source)