Analytics Engineer Tech Lead

New

BrazilFull-TimeLead

Salary not disclosed

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Job Details

Degree or equivalent experience in Engineering, Computer Science, Data Science, Information Systems, Statistics, Economics, or related fields.
Strong experience with data modeling, data marts, and scalable analytical pipeline development.
Advanced SQL expertise for transforming and managing large-scale datasets.
Proven experience with dbt and code versioning tools such as Git and GitHub.
Practical knowledge of Python for data extraction and orchestration workflows.
Experience leading technical data squads within product-focused environments.
Strong communication skills with the ability to engage both technical and non-technical stakeholders effectively.
Familiarity with BI tools such as Metabase, Power BI, Tableau, or similar platforms.

Lead the architecture and development of analytical data models focused on product metrics and customer journey analysis.
Act as the technical reference for the Analytics Engineering team, promoting best practices for data quality, version control, and documentation.
Design, review, and optimize analytical pipelines using SQL, dbt, and related tools within the data stack.
Ensure governance, reliability, and consistency of data used in dashboards, experimentation initiatives, and product analyses.
Collaborate with multidisciplinary squads to define KPIs, identify business opportunities, support strategic decisions, and measure product impact.
Mentor and support the technical growth of team members, fostering excellence in analytics engineering and product-oriented data practices.
Drive innovation and automation initiatives to improve efficiency, scalability, and competitiveness.
Contribute to the creation and maintenance of centralized and trusted metrics frameworks across the organization.
Promote a collaborative, inclusive, and impact-oriented team environment.

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