Analytics Engineer Sênior - Remoto|Senior Analytics Engineer - Remote

About the Opportunity

The Analytics Engineer is responsible for designing and leading analytics projects end‑to‑end, serving as a technical reference for projects of any level of complexity.

Key Responsibilities

• Lead complex projects from conception to implementation and results monitoring.
• Design, build, and structure scalable data models using Modern Data Stack (MDS) tools.
• Design the architecture of Data Warehouse (DW), data pipelines, and Business Intelligence (BI) projects.
• Define, implement, and oversee processes, standards, and best practices related to the MDS.
• Coordinate with business areas on the creation, documentation, and usage of data pipelines.
• Collaborate with both technical and non‑technical teams, bridging the gap between business problems and technical solutions.
• Develop training and implement data processes within business areas.
• Work on complex projects by formulating and answering business questions using data visualization and advanced statistics.
• Ensure the application of quality controls and support knowledge sharing within the team.
• Propose new data product solutions alongside the data team and business stakeholders.
• Coordinate the implementation of data‑related metrics and processes within business areas.
• Plan and execute migration, architecture, platform, and data product projects.

Preferred Qualifications & Experience

• Proven experience in defining Data Warehouse architectures, optimizing production models, and implementing development, maintenance, and usage processes for data products.
• Experience defining and implementing data platform projects of varying scales and complexity.
• Advanced knowledge in cost and performance optimization for large‑scale data models.
• Strong experience optimizing processes across data platforms (DataOps, SecOps, DevOps).
• Proven ability to solve business problems through a multidisciplinary perspective combining data and business.
• Experience managing data teams and delivering value efficiently through data platforms.
• Experience defining structure and modeling standards in dbt projects.
• Experience leading end‑to‑end analytics projects.
• Advanced SQL skills (window functions, macros, indexes, etc.).
• Advanced knowledge across all areas of the Modern Data Stack (Databases, Data Warehouses, dbt, Cloud, BI).
• Experience integrating projects across multiple data sources and business areas.
• Advanced experience with analytical tools (Excel, BI tools, etc.).
• Strong analytical, communication, and project management skills.
• Experience creating, documenting, and implementing business metrics.
• Experience presenting metrics to senior leadership.
• Strong interest in solving problems through data visualization.
• Advanced knowledge of information design.
• Advanced proficiency in R/Python or equivalent, focused on data manipulation and visualization.
• Advanced knowledge of Git.
• Familiarity with Figma or similar prototyping tools.
• Results‑driven, with strong communication, writing, and organizational skills.
• Solid understanding of AI and its applications.
• Advanced or fluent English.

Nice to haves

• Certified Data Management Professional (CDMP).
• Postgraduate degree in a data‑related field.
• dbt certification.
• Certification in a BI tool (e.g., Power BI Data Analyst Associate, Tableau Certified Data Analyst).
• Advanced knowledge in one or more business domains (e.g., People Analytics).
• Professional/Specialty‑level certification in a public cloud platform (AWS, Azure, GCP) or equivalent.
• Professional‑level certifications such as Databricks or Snowflake.
• Knowledge of advanced statistics and machine learning techniques.