Operations Program and Analytics Manager at tires-easy.com

Argentina

<h2><strong>A bit about us</strong></h2> <p>We're on a mission to change the tire industry: how it's delivered and how it's experienced. A pioneer in the automotive e-commerce industry, we take pride in our extensive selection of top-name brands and budget-friendly options, ensuring our customers find the perfect tire to suit their needs. As a part of our growing and dynamic team, you'll contribute to our commitment to exceptional service, innovation, and customer satisfaction. Embrace the opportunity to be a driving force behind one of the fastest growing e-commerce companies in the US and apply now!</p> <h2><strong>About the role</strong></h2> <p>The Program &amp; Analytics Manager is a strategic, individual-contributor role focused on driving high-impact initiatives that support business growth, reduce costs, increase efficiency, and reduce operational errors, grounded in rigorous data analysis.</p> <p>This role focuses on identifying opportunities, building data-backed business cases, and owning cross-functional projects end-to-end; from problem definition through implementation and measurement.</p> <p>You'll work closely with Operations leadership, Product, Technology, Finance, and external partners to turn data into strategy and strategy into measurable outcomes.</p> <h2><strong>Key responsibilities</strong></h2> <ul> <li>Identify and evaluate operational opportunities tied to cost reduction, efficiency gains, scalability, and error reduction</li> <li>Query and analyze complex datasets (SQL, spreadsheets, BI tools) to quantify impact, prioritize initiatives, and support decision-making</li> <li>Build clear business cases, success metrics, and ROI expectations for proposed initiatives</li> <li>Actively investigate and resolve immediate, high-priority issues (such as inventory discrepancies, order cancellations, and fulfillment bottlenecks) to ensure seamless service delivery and minimal customer impact.</li> <li>Own strategic, cross-functional initiatives from concept through execution</li> <li>Define scope, timelines, risks, and dependencies</li> <li>Drive alignment across stakeholders and ensure accountability, without formal management authority</li> <li>Track progress and communicate outcomes and tradeoffs to leadership</li> <li>Redesign processes to reduce manual work, defects, and rework</li> <li>Leverage AI tools to automate repetitive manual tasks and free up capacity for higher-value work</li> <li>Partner with Product and Technology on system improvements and automation</li> <li>Update SOPs and operating models as new solutions are implemented</li> <li>Build and maintain dashboards and recurring reports to track KPIs and program performance</li> <li>Define KPIs and success metrics for initiatives</li> <li>Monitor performance post-launch, dig into root causes of variance, and iterate as needed</li> <li>Document learnings and share insights across teams</li> </ul> <h2><strong>Eligibility requirements</strong></h2> <ul> <li>Available to work full shifts until 4:30pm PST</li> <li>Fluent in speaking, reading, and writing English</li> <li>Reliable high-speed internet connection for home office</li> </ul> <h2><strong>Skills &amp; experience</strong></h2> <ul> <li>Strong analytical and problem-solving skills, with a track record of using data to influence decisions and strategy</li> <li>Proficiency in SQL for querying and analyzing data</li> <li>Experience building dashboards/reports in BI tools (e.g., Tableau, Looker, Power BI)</li> <li>Advanced Excel/Google Sheets skills (pivot tables, modeling, complex formulas)</li> <li>Experience using AI tools to automate manual tasks and streamline workflows</li> <li>Proven experience driving cross-functional projects or programs</li> <li>Comfort working in ambiguity and defining problems from scratch</li> <li>Excellent written and verbal communication skills</li> <li>Self-motivated with a strong ownership mindset</li> <li>Intellectual curiosity and a bias toward inventing new approaches rather than defaulting to how things have always been done</li> <li>Bachelor's degree in a quantitative field (e.g., statistics, economics, mathematics, engineering, data science) required</li> </ul>