Описание

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 them into clear dashboards, real-time financial KPIs, and AI assistants for direct business-data interaction.
Задачи

Lead business requirements gathering, functional KPI design, and analytical solution validation;
Identify clients’ analytical needs and translate them into functional specifications, user stories, and process models;
Design and audit business rules for key metrics, including EBITDA, sales margin, COGS, average ticket, labor productivity, and inventory;
Analyze clients’ source-system data structures, including POS/TPV systems, accounting ERPs, and shift-management tools, and 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 dashboards,



functional documentation, and client-to-technical-team workflows.
Требования

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;
Strong understanding of P&L;, operating margins, and business cost structures;
Intermediate/advanced proficiency with 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, including Scrum and Kanban;
Experience 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 d

📌 бизнес аналитик for hospitality analytics (Madrid)
🏢 Enfint
📍 Madrid