business analyst for hospitality analytics

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.