Data Analyst

About Wing: Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. About the Role: Wing is looking for a Senior Data Analyst to join our Analytics team. This role is based in Palo Alto, CA or remotely in the US. The ideal candidate is solution-oriented, a self-starter, and thrives in ambiguity, using data and analytics to turn complex business questions into clear, decision-focused problems. They analyze complex datasets, design and build robust models, and conduct scenario analyses to evaluate tradeoffs, quantify impact, and guide strategic choices. They communicate insights through actionable recommendations, enabling leadership to make confident, data-informed decisions. What You’ll Do: Analyze complex datasets to uncover trends, patterns, and insights. Identify the right data sources to answer ambiguous business questions and ensure analyses are accurate and actionable. Design and build robust models to evaluate tradeoffs and quantify impact. Conduct scenario analyses and sensitivity testing to support strategic decisions. Translate analytical findings into clear, actionable recommendations for stakeholders. Develop dashboards, automated workflows, and self-serve analytics to operationalize insights where applicable. Collaborate with business stakeholders to frame ambiguous problems into well-defined analytical questions. What You’ll Need: 3-6+ years in analytics, data science, business analytics, consulting, or strategic data roles Bachelor's/Master’s degree in a quantitative field (e.g. data analytics, math) Strong experience in data analysis, modeling, and applied analytics (SQL, Excel, Python, or similar tools). Proven ability to work with ambiguous, complex business problems and turn them into actionable solutions. Excellent communication and storytelling skills, with the ability to present complex analyses in a clear, decision-focused way. Experience building scenario models, forecasts, or tradeoff analyses to guide business decisions. Self-starter mentality, with the ability to independently prioritize and drive impact. Comfortable partnering with leadership and influencing decisions across multiple functions. The US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process. Salary Range $128,000 — $170,000 USD Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form .