Senior Analytics Engineer, 12 Month Contract

🕒 April 23

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Coconut Software

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏦 Banking

💳 Fintech

SaaS • Banking • Fintech

Coconut Software is a market leader in providing appointment scheduling, advisor optimization, and lobby management solutions specifically designed for financial institutions such as banks and credit unions. Their platform helps increase operational efficiency and customer experience by ensuring that customers connect with the right experts at the right time. Coconut Software offers a comprehensive suite of features, including video banking, reporting and analytics, and integrations with existing systems, to streamline the services financial institutions provide. Their solutions help drive profits by increasing product sales and improving customer satisfaction and loyalty.

📋 Description

• 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