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
- Senior Analytics Engineer building complex data models and insights at Coconut Software. Mentoring team members and supporting data-driven business strategies with advanced analytics.
Responsibilities
- Mentor and support data analysts, data engineers and developers, fostering a collaborative and psychologically safe environment.
- Set high standards for technical excellence in SQL, dbt modeling, and LookML architecture.
- Collaborate with other analytics engineers on the migration of legacy logic from Redshift/Postgres into performant Databricks silver and gold layers.
- Independently implement complex data models in dbt, demonstrating expertise in modularity, testing, and performance optimization on Spark.
- Own the LookML layer, ensuring our explores and dashboards are performant, intuitive, and accurate.
- Act as a "Hybrid Analyst," comfortably balancing long-term engineering projects with ad-hoc requests to support the business.
- Translate stakeholder questions into Looker-based reports and visualizations, ensuring the business has the right insights at the right time.
- Lead technical data planning through discovery, design, and release, ensuring clear documentation for data catalogs and version tracking.
- Identify opportunities for "data debt" reduction and architectural improvements in our Lakehouse and semantic layers.
- Proactively address system characteristics like latency and throughput, ensuring our data pipelines are optimized for cost and speed.
- Act as a subject matter expert in your data domain, contributing to business strategy to ensure we are measuring what matters.
- Provide engineering perspectives on the product roadmap, clearly communicating data feasibility and reporting limitations.
Requirements
- 5+ years of applied experience in an Analytics Engineering or Data role with a solid track record of technical leadership in B2B/SaaS environments.
- Extensive experience architecting dbt projects and managing complex Looker environments.
- Solid experience using Looker (or similar BI tools like Tableau or Power BI) to build dashboards and solve complex data requests.
- Strong architectural understanding of modern data stacks, with proven experience in Databricks.
- Expertise in writing, improving, and troubleshooting complex SQL queries.
- A passion for learning and exploring how AI/LLMs (like Google Gemini) can be integrated into the data lifecycle.
- The ability to successfully collaborate cross-functionally, gathering requirements and delivering results to different teams and departments.
- Excellent interpersonal and communication skills; you can relay complex technical ideas to anyone in the building.
Benefits
- Health & Dental Benefits, Virtual Care, & Disability top up - all starting from day 1!
- Virtual mental health and EAP platform
- WealthSimple GRSP & Matching
- Annual Wellness Benefit ($1000 per year)
- Opportunity to work remote - anywhere in Canada!
- Employee Options - everyone shares in our success!
- Internet Subsidy on each paycheck
- Tiki Bucks Incentive Program - everyone is entitled to earn bonuses!
- A People First Company - 4.2 rating on Glassdoor
- Most Admired Corporate Cultures (2024) and ranked #22 in Best Workplaces in Canada (2025) in company size category
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Analytics Engineer developing data environments using modern technologies for clients at Cuesta Partners. Collaborating on solutions and supporting data - driven business decisions.
Senior Analytics Engineer at Forward Financing designing and optimizing data architecture and models. Collaborating with cross - functional teams to deliver AI - ready data insights.
Lead Analytics Engineer leading technical initiatives in a financial technology company focused on AI - ready data insights. Collaborating across teams to enhance the data ecosystem while mentoring engineers.
Manager of Analytics Engineering at fintech company optimizing data infrastructure for trusted AI insights. Overseeing a team to build centralized data foundation and support various business functions.
Support Engineer responsible for operational support of data analytics and cloud technologies at Sun Life Financial. Collaborate with project teams to enhance and maintain data processes.
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.
Senior Analytics Engineer architecting, building, and operating secure data pipelines in AWS cloud. Leading compliance with data governance standards across analytics integrations.
Data Analytics Engineer preparing enterprise data to be AI - ready at Canadian Bank Note Company. Designing semantic layers and enabling advanced analytics, self - service BI, and AI - powered decision - making.
Analytics Engineer responsible for designing, building, and maintaining scalable data pipelines. Contributing to AI - enriched data infrastructure for revenue - focused initiatives across various teams at Meltwater.