Senior Analytics Engineer designing financial, GTM, and product data models for Lightspeed’s cloud commerce platform. Owning pipelines, documentation, and analytics foundations used across the business.
About the role
- Analytics Engineer building Snowflake and dbt data platforms for Tucows’ Internet businesses. Applying AI, SQL, Looker, and Python to drive data-informed decisions.
Responsibilities
- Design, develop, and maintain complex data models in Snowflake
- Build efficient data pipelines and transformations using dbt
- Implement conversational data queries and AI-driven insights using Snowflake Intelligence features such as Cortex Analyst, Cortex Agents, Cortex Search, and AISQL
- Develop advanced SQL queries and analyze large datasets to identify patterns, trends, and opportunities
- Develop, maintain, and optimize Looker dashboards and LookML
- Enable stakeholders to interact with data through natural-language queries
- Collaborate with product, engineering, business, and other stakeholders to deliver data-driven solutions
- Identify opportunities to implement AI, machine learning, and NLP technologies
- Write Python code for data analysis, processing, and automation
- Use shell scripting and command-line tools to support data workflows
- Integrate tested code into automated workflows such as Airflow job scheduling
- Create visualizations and presentations for senior management and cross-functional teams
- Stay current with data engineering, analytics, dbt, Snowflake, and BI innovations
- Improve the organization’s analytics stack, data practices, and data culture
Requirements
- Bachelor’s degree in Computer Science, Statistics, or a related field
- 2+ years of experience in data analytics or a related field
- Significant exposure to AI and Machine Learning applications in analytics
- Advanced SQL skills with complex queries on large-scale datasets
- Hands-on experience with dbt for building, testing, and documenting data models
- Expert-level knowledge of data modeling and data warehouse concepts
- Experience with Snowflake and familiarity with advanced Snowflake AI capabilities
- Strong skills in Looker and LookML or similar BI tools
- Proficiency in Python, including pandas and NumPy
- Experience with shell scripting and command-line tools
- Familiarity with ETL processes, Apache Airflow or similar orchestration tools, and Docker
- Experience with AWS or GCP cloud platforms
- Solid understanding of Git and CI/CD processes
- Familiarity with agile development methodologies
- Excellent communication, presentation, critical thinking, and problem-solving skills
- Experience working on cross-functional teams and translating business needs into technical solutions
- Experience implementing data governance best practices and ensuring data quality and consistency
- Knowledge of data ethics, bias mitigation, and data privacy regulations such as GDPR and CCPA
Benefits
- Flexible, remote-first work arrangement
- Fair compensation and generous benefits
- Reasonable accommodation for individuals with disabilities
- Diversity, inclusion, and equality commitment
- AI-enabled recruitment tools with human-made final hiring decisions
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