Senior Analytics Engineer

Leega

Analytics Engineer developing data pipelines and dashboards for Leega, a company focused on innovative client services. Seeking analytical professionals with strong technical skills and experience in BI.

Posted 6/23/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDBTAirflowBigQueryGoogle Cloud PlatformPythondata transformationschema designquery optimizationdimensional modeling

Soft Skills

analytical skillsconsultative skillscommunicationcritical thinkingdocumentationgovernanceproblem-solvingstakeholder engagementroot-cause analysisbusiness requirements gathering

Tools & Technologies

LookerGoogle Cloud Storagedata pipelinesBI platformsdata governance toolsdata visualization toolstask automation toolsdata documentation toolsperformance tuning toolscost management tools

Industry Keywords

Analytics EngineerBI Engineerdata solutionsproduct metricsmarketing metricsfinancial metricsAARRRLTVCACdata governance

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Work directly within tribes requiring the development of data pipelines and new dashboards.
Strong experience as an Analytics Engineer, BI Engineer, or in a similar role.
Minimum proven experience: 5 to 6 years (required).
Advanced SQL: deep knowledge of schema design, query optimization, and dimensional/relational modeling.
Advanced experience with DBT: professional use in building, testing, and documenting data transformation pipelines.
Experience with Airflow: building, maintaining, and orchestrating complex data pipelines.
Google Cloud Platform (GCP):
Expertise in BigQuery: in-depth knowledge of performance tuning, cost management, and advanced platform features.
Familiarity with other GCP data services (e.g., Google Cloud Storage).
Experience with BI/visualization platforms: proficiency in developing dashboards on the Looker Platform.

Requirements

What you’ll need

Analytical and consultative skills
Consultative profile: ability to communicate with non-technical stakeholders, gather business requirements, and translate them into data solutions.
Analytical and critical thinking: ability to go beyond the "what" (data) and address the "why" (root-cause analysis), proposing solutions based on insights.
Documentation and governance: strong culture of documentation, tagging, and promoting data governance.
Programming: knowledge of Python for task automation, building custom pipelines, and/or exploratory analyses.
Knowledge of business metrics (optional): familiarity with product metrics (AARRR), marketing (LTV, CAC), or financial metrics.

Benefits

Comp & perks

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