Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
About the role
- Data & Analytics Intern/Co-op at Kinaxis modernizing data ecosystems and developing data solutions. Gain hands-on experience in data integration, engineering, modeling, and business intelligence.
Responsibilities
- Assist in modernizing data systems with cloud-based tools.
- Learn and apply modern data engineering practices and tools under guidance.
- Develop basic data pipelines and integrations.
- Participate in data validation, cleansing, and error-handling mechanisms to maintain data quality.
- Stay updated on the latest technology trends relevant to your role.
- Work with team members to gather requirements and support small-scale data-driven solutions.
- Contribute to team planning and the execution of data projects.
- Troubleshoot issues while focusing on learning and skill development.
- Create simple data models and dashboards to provide actionable insights to stakeholders.
- Build and maintain visually appealing BI reports/dashboards.
- Learn to deliver compelling presentations to engage and inform stakeholders.
Requirements
- Currently enrolled in a Bachelor’s degree program in Computer Science, Software Engineering, or related fields.
- Exposure to SQL, Python, or data pipeline tools (e.g., Airflow, dbt) through coursework or previous projects.
- Exposure to BI tools such as PowerBI and/or Looker is a plus
- Basic understanding of software engineering principles, including CI/CD pipelines, version control (Git), and RESTful APIs.
- Basic knowledge of database concepts and different types of data models.
- Interest in infrastructure-as-code (Terraform) and/or configuration-as-code (Ansible) is a plus.
- A passion for learning and solving technical challenges.
- Must be a Canadian Citizen or a Permanent Resident due to CGRP security requirements
Benefits
- Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
- Flexible work options
- Physical and mental well-being programs
- Regularly scheduled virtual fitness classes
- Mentorship programs and training and career development
- Recognition programs and referral rewards
- Hackathons
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