Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $82k - $91.1k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Tucows

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛍️ eCommerce

📡 Telecommunications

💰 Post-IPO Equity on 2017-02

eCommerce • Telecommunications • Internet

Tucows is a technology company that serves as the third largest domain registrar globally, operating under brands like OpenSRS, Enom, Ascio, and Hover. Additionally, through its Ting brand, Tucows invests in building fiber-optic internet infrastructure across the United States. The company also develops software to enhance telecom operations through its Wavelo platform. Tucows is committed to the open Internet and aims to improve online experiences for its users.

📋 Description

• 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