Analyst, Data Operations & Analytics (all genders)

Job description

Hi there! Thanks for stopping by 👋 Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We're looking for a savvy Analyst, Data Operations & Analytics to join our Data Office in Berlin and serve as the ultimate bridge between data, product, and business teams across our Hospitality vertical. You'll turn complex business questions into clear insights, reusable data models, and reporting that help teams understand their customers and business, make better decisions, and improve operational performance. If you're ready to combine strong analytical judgment, product and business understanding, and technical expertise to elevate data standards, and make a lasting impact, this is the opportunity for you! Lightspeed empowers the businesses at the heart of our communities, from standout retailers to unforgettable restaurants to renowned golf courses. We are a global team who fuel ambitions with technology and insight. From online and in-person operations to multichannel sales, payments, inventory management and data-driven insights, Lightspeed helps businesses grow, deliver exceptional customer experiences and run smarter across all channels and locations. Join our driven, diverse and inclusive team to find your people, accelerate your career and create tangible solutions that help local businesses thrive. What you’ll be doing: Build a solid understanding of Hospitality's business processes, customers, and data so you can answer questions accurately and with the right context. Perform analyses such as segmentation, customer health checks, and impact measurement to help teams understand how the business is performing. Write SQL queries and build datasets to answer stakeholder questions, pulling from multiple data sources as needed. Build and maintain dashboards and reports that make it easy for business partners to track KPIs and spot trends. Work with stakeholders to understand what they're really asking, turning loosely defined questions into a clear analysis plan, with support from senior colleagues on trickier requests. Present findings clearly, with visualizations and a short narrative that explains what the data shows and why it matters. Help spot and investigate data quality issues, documenting what you find and flagging root causes to the right people. And a lttle bit of: Stay up to date wi…