.Manager, Data Analytics - Portugal Remote but must live in Portugal - Must be willing to WORK HOURS 12 PM- 8 PM GMT M-F About Tillster Headquartered in the USA, Tillster is the global leader in digital ordering and customer engagement solutions. For over a decade we have developed revolutionary self-service, ordering and payments solutions – for mobile, tablet, online, kiosk, call center, and more – creating personalized interactions based on consumer preferences, language, and currency. Our platform is compatible with 15+ unique POS systems, representing over 90% coverage in multi-unit restaurants. We offer one platform: one scalable, enterprise class solution – to create world-class digital engagement solutions. Our mission and passion are one in the same: Empower restaurants and consumers to engage and transact anywhere, anytime, and from any device - one consumer at a time, one order at a time, billions of times over. Are you a passionate data analytics leader with a knack for data accuracy, innovation, and a drive to deliver actionable insights? Tillster is seeking an experienced Manager to lead our Data Analytics team. If you have 3+ years' experience growing and managing a Data Analytics team coupled with 5+ years of experience in data analytics for ecommerce, marketing/CRM, business or financial analysis, we want to talk with you. What you will be doing Lead and mentor a high-performing analytics team, fostering professional growth and driving innovation by integrating AI-driven solutions and evaluating buy vs. build options. Design and communicate complex data insights to stakeholders, ensuring data-driven strategies align with business and customer objectives. Collaborate in defining the data collection strategy and be the lead subject matter expert in Google Analytics. Champion the design, implementation, and analysis of A/B tests to optimize customer experiences and drive business performance. Support ad hoc data analysis for Tillster customers, executives, and other stakeholders to surface patterns in the data and identify areas to improve KPIs. Develop and update dashboards for business stakeholders such as Marketing, Product, Finance, Engineering, Account Management, and Support/Operations. Create new analysis explores to enable non-technical analysts to access data, build dashboards, and solve critical business challenges on Looker technology. Work in the data science team in data analysis of data collected by those apps. Build reusable services and components to add to our company-wide libraries in SQL, Python and Looker. Conduct QA and code reviews to ensure maximum quality and accuracy. Responsible for data product quality standards and validation test plans and test cases. Work collaboratively with software engineers, data engineers, data scientists, BI developers, and other internal/external key stakeholders. Requirements 3+ years as a hands-on manager, leading a Data Analytics team in a fast-paced environment