Data Analyst (Data Analytics Specialist) GOA0389

cyber communications inc.

Cyber Communications Inc. is on the lookout for a Data Analyst to join their team. This role focuses on developing scalable and robust ETL pipelines, handling data engineering projects, and integrating DevOps practices with CI/CD. Ideal candidates will have significant experience in data science, data engineering, or AI.

In this role you can expect to have the responsibilities:

• Build high-performance, scalable, and robust ETL pipelines in distributed clusters.
• Create Microsoft-SQL database solutions.
• Work on projects involving data science, data engineering, and AI.
• Integrate DevOps practices into development workflow using CI/CD best practices.
• Design and plan creative solutions using analytical and problem-solving skills.
• Apply dimensional modeling techniques.
• Develop in Python.
• Model relational databases.
• Support or develop within a data warehouse/business intelligence environment.
• Implement data security, data privacy policies, data de-identification/anonymization, and data audits.
• Participate in Agile project methodologies.
• Build analytical and quantitative analysis models.
• Understand complex business questions and frame analytical questions to solve business problems.
• Handle data from multiple technical environments, including Hadoop, Microsoft SQL, and unstructured data (social media, video feeds, audio).
• Work across both business and technology sectors.

This role comes with the following benefits:

• Dental care
• Flexible schedule
• Work from home

This role requires you to have:

• Experience building ETL pipelines in distributed clusters.
• Proficiency in Microsoft-SQL database solutions.
• Experience in data science, data engineering, or AI projects.
• Incorporating DevOps practices with CI/CD.
• Analytical and problem-solving skills to design solutions.
• Dimensional modeling techniques.
• Proficiency in Python development.
• Relational database modeling techniques.
• Experience in data warehouse/BI environments.
• Data security and privacy implementation.
• Experience in Agile methodologies.
• Analytical and quantitative analysis modeling.
• Managing unstructured data.
• Experience spanning multiple technical environments.
• Collaboration across business and technology sectors.

You would benefit from having:

• Stress and conflict management.
• Effective verbal and written communication.
• Establishing and maintaining effective team relationships.
• Quick learning and problem-solving.

French language skills are not required. A retention bonus is available. The role requires working Monday to Friday with a flexible schedule.