Delivery Operations Analyst

Get AI-powered advice on this job and more exclusive features. Sauce is a premier restaurant technology platform that helps businesses grow with our Commission‑Free Delivery & Pickup structure and proprietary delivery optimization technology. We are serving a 105 billion dollar US local restaurant business. Headquartered in NYC and Tel‑Aviv, Sauce wants restaurants to fulfill their highest potential, giving local establishments everything they need to connect directly with their customers. The Sauce team pools together decades of restaurant tech experience, along with seasoned tech, sales, marketing, product and operations executives who produce an industry‑changing delivery system for successful local restaurants and chains. This position is a full‑time contract role and is fully remote, open to candidates based anywhere in Latam. What You’ll Do Act as the go‑to expert for delivery quality‑related questions and delivery companies’ performance tracking per territory Analyze operational and delivery data to identify trends, gaps, and opportunities for improvement across dispatch, support, and customer success workflows Build and maintain dashboards and recurring reports to track KPIs, operational health, and delivery performance Partner with cross‑functional teams (Data, BI, Support, Customer Success, Dispatch) to define metrics and ensure consistent reporting Identify operational inefficiencies and support process improvements to increase scalability and reduce friction Support new initiatives, pilots, and internal tools by validating requirements, tracking outcomes, and reporting impact Monitor data integrity and work closely with the dispatch team, conducting business analysis tasks to optimize configurations, settings, and delivery algorithm logic Assist with forecasting, capacity planning, and resource allocation using data‑driven insights Must Have 1–3 years of experience in operations, delivery analytics, business analysis, or a similar role Strong analytic skills with experience using Excel/Sheets and BI tools (Power BI, Looker, Tableau, or similar) Proficient in SQL and Python Ability to translate data into clear, actionable insights Strong communication skills and experience working cross‑functionally High attention to detail and comfort operating in a fast‑paced environment Preferable Qualifications Experience with CRM systems (e.g., HubSpot), support tools, or workflow automation platforms Familiarity with Databricks or modern data platforms Experience in operations‑heavy, customer‑facing, or marketplace environments Background in on‑demand delivery or logistics Exposure to Python and basic data modeling or analytics workflows Required Technology & Equipment Personal computer or laptop with up‑to‑date software High‑speed internet connection Keyboard, mouse, working webcam, and headset with a microphone Primary 24” monitor (with an additional 24” monitor preferred) What We Offer Strong & Competitive Compensation Package Flexible Work Environment 10 Paid Personal/Vacation Days 5 Paid Sick Days Monthly Wellness Stipend Sauce is an equal opportunity workplace and an affirmative action employer. We welcome all qualified applicants regardless of race, color, ancestry, religion, sex (including pregnancy and related conditions), national origin, sexual orientation, age, marital status, disability (physical or mental), gender identity, gender expression, genetic information, veteran status, citizenship, immigration status, or any other classification, category or characteristic protected by applicable federal, state or local laws. We understand the importance of creating a more diverse and inclusive workplace and celebrate our employees for their differences. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr