Data Scientist – Power BI & Dataiku Expert (Pharmaceutical Industry)

Job Title: Data Scientist – Power BI & Dataiku Expert (Pharmaceutical Industry) Location: North York Job Type: Fulltime Industry: Pharmaceutical Job Overview We are seeking a highly skilled Data Scientist with expertise in Power BI & Dataiku to join our pharmaceutical data analytics team. In this role, you will collaborate with cross-functional teams to develop scalable data solutions, automate data pipelines, analyze large datasets, and create interactive dashboards using Power BI. You will also be responsible for configuring and managing Dataiku, ensuring seamless database connections, user management, and process optimization. This is an exciting opportunity to contribute to data-driven decision-making in the pharmaceutical industry while staying updated with the latest industry trends and best practices. Key Responsibilities Collaborate with cross-functional teams to understand business requirements and develop scalable data solutions. Design and implement automated data pipelines for data extraction, cleansing, and loading. Configure and manage Dataiku, including database connections, user access management, permissions, and code environments. Analyze large pharmaceutical datasets to identify trends, patterns, and actionable insights. Develop interactive dashboards using Power BI, focusing on embedded analytics and effective data storytelling. Maintain comprehensive documentation, including business intake forms, data processes, workflows, methodologies, and findings. Stay updated with industry trends in data platforms and architecture. Implement best practices for process optimization using Python and scripting tools. Required Skills & Expertise Expertise in Dataiku (v12 preferred) with strong workflow design skills. Proficiency in Python, SQL, and R for data manipulation and analysis. Familiarity with cloud platforms (AWS & Snowflake) and database technologies. Advanced Power BI development skills, including embedded analytics. Strong infrastructure automation skills for efficient data processing. Experience Requirements 3-5 years of experience in Dataiku, Python, and Power BI development. 3-5 years of experience in the pharmaceutical or healthcare industry. Hands-on experience in constructing data visualizations and applying statistical analysis to complex datasets. Qualifications Minimum: Bachelor’s degree in Science or Engineering-related fields. Preferred: Master’s degree in Biotechnology, Computer Science, or a related discipline. What This Role Offers Opportunity to work on cutting-edge data science projects in the pharmaceutical industry. Collaborate with a team of experienced data professionals and industry experts. Competitive salary and benefits package. Access to continuous learning and development opportunities. If you are passionate about leveraging Dataiku and advanced analytics to drive impactful decisions in pharmaceutical research and operations , we encourage you to apply! Why Join Us? ALTEN Canada fosters a dynamic and collaborative work environment where team members are empowered to unleash their full potential. We believe in investing in our talent, offering stimulating experiences, and supporting professional growth and development at every turn. As part of our commitment to our team members, we offer a comprehensive benefits package including: Collective Insurance & RRSP Corporate Discounts 4 weeks of vacation Numerous corporate activities Personalized professional development plans Join ALTEN Canada and embark on a journey of endless possibilities, where your talents are celebrated, and your ambitions are nurtured. Experience the difference of working with a company that values innovation, collaboration, and excellence in every endeavor. ALTEN CANADA is committed to promoting diversity, equity, and inclusion. We strive to provide a work environment where every individual feels welcomed, valued, and respected, allowing them to thrive to their full potential. This includes our dedication to offer accessibility measures to those who require them. Should you require any accommodation during our recruitment process, please reach out to us.