São Paulo, Brazil
10 days ago
Analytics Engineer 2 (English speaking)
Welcome page Returning Candidate? Log back in! Analytics Engineer 2 (English speaking) Job ID 2025-12734 # of Openings 1 Job Locations Remote - Brazil Category Information Systems Overview

The Analytics Engineer 2 provides clean data sets and models data in a way that enables for analysis to be carried out to drive key business insights. The Analytics Engineer 2 provide business users with answers to their questions by creating data based analysis as required. The Analytics Engineer 2 has a general understanding of the data infrastructure and tooling and can leverage this for monitoring and maintaining data pipelines and developing data transformations to generate fresh reliable data assets.

 

What you will be doing Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models, while considering non-functional requirements such as performance constraints, cost constraints, and security policies.Model, design, develop, test, and implement appropriate backend and front-end structures needed to meet business visualization and reporting requirements.Implement and refine dbt models that extract, transform, and load features for Reporting and ML experiments, ensuring each pipeline is documented and follows CI/CD practices in the team’s GitHub repository with automated tests and version controlCurate structured datasets by scheduling regular refreshes, verifying record completeness, and updating metadata. Track dataset health metrics and escalate inconsistencies to senior engineers to maintain reliable inputs for modeling and analysis.Help develop and integrate data‑quality handling guidelines into pipelines and CI/CD workflows. Operate anomaly‑detection dashboards, escalate issues, and collaborate on remediation patterns—system fixes, record exclusions, and null‑handling strategies.Build, train, and evaluate proof-of-concept models using Python libraries (scikitlearn, TensorFlow). Perform feature selection, hyperparameter tuning, and metric analysis under mentorship, and collaborate on refining prototypes for integration.Coordinate with the data engineers, data analyst, and data governance analysts to align with change management processes and to ensure performance, processes, and access is optimal for global reporting solutions.Comply with all corporate and departmental privacy and data security policies and practices, including but not limited to, Hyland’s Information Systems Security Policy

 

What will make you successful Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent experienceProficient in English. Reading, writing and spoken.Experience working as part of a data team; preferably as either a data engineer or data analystHands-on experience with Python ML libraries (scikit-learn, PyTorch, TensorFlow, Great Expectations) and feature-store conceptsExcellent communication skills—able to document data logic, model assumptions, and exceptionsWorked with cloud data warehouses for storing data (Microsoft Fabric, Snowflake, Azure, AWS)Hands on experience with modern BI tools (PowerBI, Tabeau)Modeling with dbt or another data modeling tool for data transformationFamilarity/experience with Airflow and/or DockerFundamental data architecture and design skillsMicrosoft Windows and Office proficientGood oral and written communications skills that demonstrate a professional demeanor and the ability to interact with others with discretion and tactGood organizational, multi-tasking, and time management skillsGood collaboration skills, applied successfully within team as well as with all levels of employees in other areasGood Microsoft Excel skillsGood facilitation and project management skillGood interpersonal skills; able to maintain solid rapport with team members as well as maintain professionalism with those outside of departmentGood data gathering, interviewing, and analytical/problem solving skillsGood critical thinking and problem solving skillsDemonstrated proficiency with data system design, including databases, schema, marts, aggregates, and viewsAbility to use original thinking to translate goals into the implementation of new ideas and design solutionsSelf-motivated with the ability to manage projects to completion with minimal oversightAble to thrive in a fast paced, deadline driven environmentGood attention to detailDemonstrated ability to influence, motivate and mobilize team members and business partnersGood ability to develop and use engaging, informative and compelling presentation methodologiesGood ability to handle sensitive information with discretion and tactGood ability to establish rapport and gain the trust of others; effective at gaining consensusAbility to work independently and in a team environmentGood knowledge of SQL and strong data transformation skillsGood knowledge of Microsoft Operating systems and productsEnjoys working with emerging technologiesUp to 5% travel time required

 

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