Design, build, and maintain dashboards and analytic tools using BI platforms such as Looker, Tableau, or Power BI.
Partner with teams across Operations and Managers to deliver data insights that drive business decisions.
Analyze differents patterns and user behavior within core product flows (activation, conversion, engagement, retention) to support product and business decisions.
Surface opportunities by evaluating funnels, drop-off points, friction patterns, and adoption trends.
Contribute to metric definition and performance tracking for new features, enhancements, and business initiatives.
Automate recurring reporting and data workflows using SQL, DBT, and lightweight scripting (Python or Apps Script).
Ensure data quality, consistency, and reliability across reporting pipelines.
Translate complex data into clear, actionable insights that inform strategy and improve customer experience.
Use modern AI tools and APIs (such as OpenAI, Claude, Gemini, or comparable platforms) to accelerate analysis, improve stakeholder self-service, and automate repeatable analytics workflows.
Help design and evaluate practical AI-enabled internal tools, such as natural-language data exploration, automated insight summaries, data-quality checks, opportunity identification, and workflow-routing solutions.
Partner with the Data, AI, Strategy, and Yield team to identify high-value business problems where AI can improve decision speed, reduce manual work, or uncover revenue and product opportunities.
Measure the effectiveness of AI-enabled workflows using clear adoption, quality, efficiency, and business-impact metrics.
Apply sound judgment around data privacy, accuracy, and human review; validate AI-generated insights before they inform decisions.
Communicate with all kind of hierarchy
Make business presentations to take decisions that will impact in the operations
Hands on with their team and when the operations need it
4 years of experience in Business IntelligenceorData Analytics inside a warehouse.
Strong SQL skills and experience working with a cloud data warehouse, ideally BigQuery.
Experience building governed, self-serve reporting in Looker, Sigma, Tableau, or Power BI
Solid understanding ofdata visualization, dashboard design.
Strong communication skills able to bridge technical analysis with business context.
Ability to turn ambiguous business questions into structured analyses, clear recommendations, and measurable next steps.
Working knowledge ofPython, R, or Google Apps Scriptfor data manipulation and automation (a plus, not required).
Familiarity with dbt, data modeling, testing, and metric-definition practices.
Comfort working in a remote-first, fast-paced setting.
