Data Solutions Analyst, Summer

The The Klick Group
—comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do.

Omnichannel Enablement brings channels, data and technology together to create consistent, coordinated, and measurable experiences across every touchpoint. The craft builds omnichannel vision and roadmaps, aligns media, platforms and analytics, and turns strategy into practical, scalable solutions that improve journey effectiveness and measurement across the ecosystem. You’ll work cross-functionally — running co-creation workshops, defining capabilities, and helping teams operationalize platforms, data and technical delivery to solve complex, real-world problems.

This craft includes consulting, analytics, solution delivery and technical/platform delivery functions focused on making omnichannel work end-to-end.

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.

• Clean, transform, and validate structured and unstructured datasets using SQL and Python to support feature engineering and analysis.
• Prototype and evaluate machine learning or statistical models using libraries such as scikit-learn, PyTorch, or Tensor Flow, documenting performance metrics and trade-offs.
• Contribute to data pipeline development and hardening using reproducible workflows, version control, and testing practices.
• Package and support deployment of models or analytics solutions through containerization, simple APIs, or structured hand-offs to engineering teams.
• Document notebooks, scripts, and workflows and present technical and non-technical summaries to cross-functional stakeholders.

Required:

• Graduating by April 2026 or graduated within the past two years from an undergraduate, Master’s, or PhD program in Data Science, Computer Science, Business Analytics, Statistics, or related field.
• Demonstrated proficiency in Python with applied use of libraries such as pandas and scikit-learn through academic or project-based work.
• Strong SQL skills demonstrated through complex queries involving joins, aggregations, and transformations on structured datasets.
• Applied understanding of supervised learning, evaluation metrics, and cross-validation demonstrated through coursework or model development projects.
• Experience producing reproducible analyses using version control (e.g., Git) and communicating findings to both technical and non-technical audiences.

Desired:

• Comfort and enthusiasm for using AI as a regular part of how work gets done.
• Experience with cloud data platforms (e.g., Microsoft Fabric, Big Query, Snowflake, AWS/GCP/Azure)
• Exposure to healthcare, pharmaceutical, clinical analytics, or life sciences data is a strong asset.
• 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.

This posting is for a newly created role  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.

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…