Senior Analytics Engineer

🔥 12 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 25%

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Ryz Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Ryz Labs is a company focused on building startups from the ground up and assisting other startups in scaling their operations. They provide top-tier technical talent solutions to ensure that emerging businesses can thrive in a competitive market.

📋 Description

• Build and maintain data infrastructure focused on dbt modeling, Snowflake optimization, and self-service analytics • Design, build, and maintain dbt models for business intelligence and analytics use cases • Optimize Snowflake warehouse performance, cost management, and data architecture • Build and maintain Omni dashboards, reports, and self-service capabilities for business teams • Implement data quality checks, monitoring, and governance processes across all data assets • Work closely with analysts and business stakeholders to understand requirements and deliver technical solutions • Establish best practices for analytics engineering, code reviews, and documentation standards • Partner with engineering teams on data pipeline improvements and integration of new data sources • Monitor and optimize query performance, data model efficiency, and warehouse costs • Bridge technical data infrastructure and business analytics needs while maintaining technical excellence

🎯 Requirements

• 7-10 years of analytics engineering experience with focus on business intelligence and data modeling • Advanced proficiency with dbt, including macros, packages, testing, and deployment • Deep experience with Snowflake, including performance optimization, cost management, and advanced features • Advanced SQL capabilities with complex query optimization and performance tuning • Strong proficiency with Looker, Tableau, or similar BI platforms • Experience with data quality frameworks, testing, monitoring, and documentation standards • Proficiency with Git workflows, CI/CD processes, and analytics engineering best practices • Experience building enterprise-grade BI solutions and data warehouses • Experience with AWS, GCP, or Azure data services and cloud-native data tools • Python or R for data analysis, automation, and advanced analytics • Experience with Airflow, Fivetran, Stitch, or similar data orchestration tools • Understanding of marketing, product, and customer analytics use cases • Experience working effectively with distributed teams across time zones • Experience with data observability and monitoring platforms • Advanced knowledge of warehouse optimization and cost management strategies

🏖️ Benefits

• Remote work arrangement • Environment of opportunities, learning, growth, expansion and challenging projects • Autonomy and efficiency in owning every step of development • Opportunity to work with a team of professionals and specialists • Work with cutting-edge cloud computing technologies

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