Senior Analytics Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Engage in the development and enhancement of the organization's analytical framework, converting raw data into dependable, documented, and reusable data products.

• Take charge of designing analytical models, Data Marts, and corporate metrics that facilitate Business Intelligence, Analytics, and Machine Learning projects.

• Guarantee data quality, governance, scalability, and alignment with business requirements.

• Create transformations and analytical models utilizing DBT.

• Construct, sustain, and refine analytical data layers, encompassing Silver, Curated, and Gold.

• Develop and implement Data Marts that cater to business area requirements.

• Convert business rules and processes into scalable, standardized, and reusable data models.

• Define, document, and manage corporate metrics, ensuring consistency across teams.

• Maintain data quality, traceability, observability, and reliability.

• Create automated tests and quality controls to validate data integrity.

• Aid in the provision of datasets for use by BI, Analytics, and Machine Learning teams.

• Collaborate with Data Engineers, Data Scientists, BI Analysts, and business stakeholders.

• Advocate for best practices in analytical modeling, documentation, versioning, and data governance.

• Contribute to the advancement of analytical architecture and the organization of data layers.

• Participate in establishing standards and strategies for utilizing corporate data.

• Recognize opportunities for optimization, performance enhancements, and scalability of developed solutions.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, Statistics, Mathematics, Engineering, or related fields.

• Extensive experience with DBT.

• Proficient SQL skills.

• Expertise in dimensional and analytical data modeling.

• Experience with Data Warehouse and Lakehouse architectures.

• Strong understanding of analytical layers (Silver, Curated, Gold, and Data Marts).

• Familiarity with best practices in data quality, testing, and data governance.

• Experience in code versioning using Git and GitHub.

• Capability to create technical and functional documentation of data models.

• Knowledge in defining, standardizing, and governing corporate metrics.

• Ability to structure datasets for BI, Analytics, and Machine Learning.

• Excellent communication skills with both technical teams and business stakeholders.

• Strong analytical and problem-solving abilities.

• Highly organized with an emphasis on detail.

• Strategic mindset regarding data and analytics products.

• Skill in translating business requirements into data solutions.

• Proactive in recognizing and implementing enhancements.

• Comfortable collaborating within multidisciplinary teams.

• Sense of responsibility for data quality and dependability.

• Product-focused mindset towards data products.

• Ability to work independently while providing technical leadership.

🏝️ Benefits

• Remote

• Full-time

• Outsourcing