Data Analyst Marketing/Science Professional

5 days ago

Old Toronto, Ontario, Canada Klick Full time

About Klick Health

Klick Health is a dynamic and innovative company that specializes in life sciences. As a forward-thinking organization, we strive to realize the full potential of our people and clients. With a strong focus on growth and development, we have been recognized as one of the country's Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing.

Analytics Team

As a member of our Analytics team, you will be at the forefront of the big data revolution, guiding marketing strategies for our diverse range of clients. You will collaborate closely with top-tier professionals to design, develop, and maintain cutting-edge data solutions.

Key Responsibilities

  • Work in a collaborative manner and interact with other analytic team members, data analysts, project managers, and business analysts to learn project data needs and define project scope.
  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals (Python and SQL).
  • Maintain enterprise data warehouse (Snowflake preferred but not required).
  • Build analytic products in the form of presentations, data outputs, system integrations, business intelligence platforms, and AI outputs.
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of code, queries, and data engineering processes (Git Management, SOP creation, Requirement Maintenance).

Qualifications

  • 4-5 years of hands-on practical experience with a minimum of 2 years of experience in ETL processing to be used for data analysis and modeling.
  • Minimum 2 years of working knowledge in Python and SQL is a must.
  • Experience working with clickstream data sets and data lakes is a must.
  • Ability to gather requirements from non-technical stakeholders and clients.
  • Experience with Business Intelligence platforms such as Power BI, Microsoft Fabric, and Tableau.
  • Post-secondary education in computer science.
  • Demonstrate working knowledge in database design and management.

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