Senior Analytics Engineer – LATAM Only

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🔥 1 hour ago

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Crükus Virtual Staffing

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

Crükus Virtual Staffing is a veteran-owned company that offers virtual assistant services to business owners and insurance agents. By leveraging skilled English-speaking virtual assistants from the Philippines and Latin America, they facilitate cost-saving outsourcing of administrative tasks. Their services range from call management, appointment scheduling, customer support, email organization, and data entry to more specialized needs like graphic design and social media management. They provide essential services for insurance agents, such as claim processing assistance and client database management. Crükus emphasizes correct hiring processes and supports clients with HR services, time tracking, and payroll management to ensure success with virtual assistants. Their involvement in community business networking events highlights their commitment to supporting local businesses.

📋 Description

• Design and implement scalable analytical data models using dimensional modeling best practices • Build and maintain fact tables, dimension tables, star schemas, and reporting datasets • Develop and manage DBT transformations, models, and analytics workflows • Create scalable ELT pipelines using Databricks, SQL, Python, and cloud-based technologies • Collaborate with stakeholders to translate business and reporting requirements into reliable data solutions • Ensure data quality, consistency, and governance across analytics environments • Support modern analytics initiatives using Microsoft Fabric, SQL endpoints, and related tooling • Contribute to AI-enabled analytics initiatives, integrations, or modern data platform enhancements • Support Oracle-based data integrations and related analytics workflows • Assist with legacy Microsoft data stack environments when required, including SQL Server, SSRS, SSIS, and SSAS • Support modernization efforts involving legacy reporting and BI systems

🎯 Requirements

• Strong hands-on experience with DBT and analytics engineering workflows • Deep expertise in dimensional data modeling, including: • Facts and dimensions • Star schema design • Kimball methodology • Analytical warehouse modeling • Advanced SQL skills for data transformation and analytics engineering • Hands-on experience with Databricks, including SQL, Python, and PySpark • Experience building scalable ELT/data pipelines in cloud-based environments • Experience with Microsoft Fabric, especially SQL endpoints and analytics workloads • Experience using Terraform or Infrastructure as Code (IaC) tooling • Familiarity with Power BI or enterprise reporting environments • Working knowledge of Oracle databases and related data services • Strong communication and stakeholder-management skills • Ability to work independently in a fast-paced remote environment