> Markdown version of [/jobs/ext/2089779-business-analyst-for-hospitality-analytics](https://www.wearedevelopers.com/jobs/ext/2089779-business-analyst-for-hospitality-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Analyst For Hospitality Analytics - **Company:** Enfint - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, JIRA, BigQuery, Cloud Database, Data Architecture, Data Governance, Data Visualization, Data Warehousing, Power BI, Standard Sql, Software Deployment, Tableau (Software), Google Data Studio, Large Language Models, Snowflake, Generative AI - **Published:** August 16, 2026 - **Apply:** https://www.buscojobs.com.es/business-analyst-for-hospitality-analytics-en-madrid-ID-367464793 ## About the Role 1-3 Years of experience in Business Analysis, Functional Analysis, or Business/BI Consulting; Degree in Business Administration, Economics, Finance, Business Analytics, Industrial Engineering, or a similar field; Solid knowledge of P&L, operating margins, and business cost structures; Intermediate or advanced experience with data visualization tools such as Power BI, Looker Studio, or Tableau; Practical SQL knowledge for data exploration; Ability to structure complex problems and explain them clearly to technical profiles, owners, and operations directors; Familiarity with Agile methodologies such as Scrum and Kanban; Familiarity with project management tools such as Jira and Notion; Nice to have: Experience in hospitality, restaurants, retail, or B2B SaaS; interest or applied experience in Generative AI and LLM integration into data workflows; knowledge of cloud data architecture, including BigQuery, Redshift, or Snowflake. ## Description ????????RockStar Data helps bars, restaurants, and nightlife groups understand their business through real data.It connects operational tools to a proprietary Data Warehouse and turns the data into dashboards, real-time financial KPIs, and AI assistants for interacting with business information.??????Lead business requirements gathering and translate them into functional specifications, user stories, and process models; Identify clients' analytical needs; Design and audit business rules for key metrics, including EBITDA, sales margin, COGS, average ticket, labor productivity, and inventory; Analyze clients' source systems, including POS/TPV, accounting ERPs, and shift management tools, to guide data standardization; Validate dashboards, data models, and AI chat responses before production deployment; Conduct discovery and follow-up sessions with clients and key stakeholders; Prioritize needs and refine the analytical backlog; Propose continuous improvements to dashboard structures, functional documentation, and workflows between clients and the technical team.??????????1-3 Years of experience in Business Analysis, Functional Analysis, or Business/BI Consulting; Degree in Business Administration, Economics, Finance, Business Analytics, Industrial Engineering, or a similar field; Solid knowledge of P&L, operating margins, and business cost structures; Intermediate or advanced experience with data visualization tools such as Power BI, Looker Studio, or Tableau; Practical SQL knowledge for data exploration; Ability to structure complex problems and explain them clearly to technical profiles, owners, and operations directors; Familiarity with Agile methodologies such as Scrum and Kanban; Familiarity with project management tools such as Jira and Notion; Nice to have: Experience in hospitality, restaurants, retail, or B2B SaaS; interest or applied experience in Generative AI and LLM integration into data workflows; knowledge of cloud data architecture, including BigQuery, Redshift, or Snowflake.???????Salary is competitive according to skills and experience; Direct impact on the product during a period of accelerated growth; Continuous learning in modern data architecture, advanced BI, and applied Artificial Intelligence; Dynamic, transparent, and results-focused environment.#J-*****-Ljbffr ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Making Data Warehouses fast. 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