Data Solutions Consultant in Life Sciences
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-09-05
Listing for:
Klick
Full Time
position Listed on 2026-09-05
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Business Systems & Technology Analysis, Data Warehousing
Job Description & How to Apply Below
Your role will involve partnering with various teams to design, build, and optimize scalable data solutions for omnichannel marketing and AI-enabled products. Collaboration with analytics, engineering, and project management teams will be crucial in transforming complex data into actionable outcomes for clients.
Key Responsibilities:
• Build and optimize ETL pipelines leveraging Python and SQL
• Maintain high-quality enterprise data warehouse solutions using Snowflake
• Work with stakeholders to clarify technical requirements
• Create and deliver impactful business intelligence solutions via Power BI and Tableau
• Foster best engineering practices with documentation and Git workflows
Requirements:
• 4-5 years in scalable data solutions development
• Minimum 2 years in ETL pipeline creation
• Proficiency in Python and SQL
• Experience with cloud data platforms like Snowflake
• Ability to develop business intelligence reporting solutions
Advance your career at Klick and play a vital role in enhancing data-driven strategies in life sciences.
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