About the job
Tucows (NASDAQ: TCX, TSX: TC) is one of the largest Internet companies you may not have heard of. Originally starting as a simple shareware site in 1993, we have since evolved into a diverse portfolio of businesses including Tucows Domains, Ting Internet, and Wavelo.
At Tucows, we prioritize a people-first philosophy grounded in respect, trust, and flexibility. We believe that accommodating our employees' needs ultimately benefits the organization. That’s why most of our positions are remote-first, allowing you the freedom to work from anywhere with an Internet connection!
Today, our dedicated team of over one thousand professionals spans more than 20 countries, all working together to enhance the Internet experience. If this excites you, we invite you to join our team!
About the Opportunity
We are on the lookout for a skilled and adaptable Analytics Engineer to join our innovative team. In this pivotal role, you will leverage your advanced analytics skills to derive actionable insights from raw data. The ideal candidate will possess a robust background in data engineering, analytics, and machine learning, with a keen ability to facilitate data-driven decision-making across the organization.
Your Responsibilities
- Data Modeling & Pipelines: Design, develop, and sustain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to construct efficient data pipelines and transformations for our data platform.
- Snowflake Intelligence Integration: Harness Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to create conversational data queries and AI-driven insights within our data environment. Develop AI solutions to capitalize on these capabilities for extracting valuable business insights.
- Advanced SQL & Analysis: Create and execute sophisticated SQL queries to retrieve and manipulate intricate data sets. Analyze extensive datasets to identify patterns, trends, and opportunities that drive strategic decision-making.
- Business Intelligence (BI): Develop, maintain, and optimize Looker dashboards and LookML to effectively convey data insights. Utilize Looker’s conversational analytics and data agent features to empower stakeholders to interact with data using natural language queries.
- Cross-Functional Collaboration: Effectively engage with stakeholders to comprehend business requirements and deliver data-driven solutions. Identify opportunities to implement AI/ML/NLP technologies in partnership with product, engineering, and business teams.
