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 the data into dashboards, real-time financial KPIs, and AI assistants for interacting with business information. Задачи
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. 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; 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. Условия
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.
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📌 business analyst for hospitality analytics (Madrid)
🏢 Enfint
📍 Madrid