Business Intelligence, Reporting & Insights inside our Warehouse

- 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.

Analytics

- 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.

Leadership and accountability

- 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

Your Experience

- 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.

Nice to Have

- 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.

📌 Warehouse Data Analyst (El Salto)
🏢 H&F Consultores Empresariales
📍 El Salto