Supply Chain Data Analyst

Bevi is on a mission to transform how beverages are delivered and consumed. Our connected beverage platform eliminates the need for single-use bottles and cans, making it easy, fun, and sustainable to stay hydrated. As the category leader in IoT-enabled beverage technology, we're building a future where Bevi machines are everywhere people live, work, and connect. We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year, saving over 1 billion bottles from waste. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development. Key Responsibilities Tactical PO Execution: Partner with the Planning and Global Supply Management (GSM) team to execute day-to-day purchasing, managing PO issuance, tracking delivery schedules, and handling routine expedites to align with production needs. Invoice & Receiving Resolution: Act as the first line of defense for tactical discrepancies, investigating and correcting data when vendor shipments or invoices do not match ERP records. Master Data Governance: Take ownership of SKU and BOM accuracy, acting as the gatekeeper for our "single source of truth" across core platforms (e.g., NetSuite, Arena). Process Mapping & Documentation: Lead the discovery of "current state" procurement workflows, identifying manual handoffs and creating visual maps or SOPs to standardize supply chain operations. Automation Opportunity Assessment: Analyze documented purchasing and inventory processes to identify repetitive tasks ripe for automation using tools like Zapier, Workato, or native ERP functionalities. AI Implementation Research: Investigate and pilot AI-driven use cases such as LLM assisted data cleaning, automated vendor follow-ups, or predictive stock alerting to reduce administrative overhead. Continuous Improvement Reporting: Build simple dashboards to track supply chain KPIs (e.g., PO cycle time, on‑time delivery) and the "before and after" impact of implemented process changes. Qualifications Bachelor’s or Master’s degree in Supply Chain Management, Business Analytics, Industrial Engineering, Information Systems, or 1-3 years of equivalent practical experience. Strong analytical mindset with an obsession for detail and a knack for connecting the dots between master data, procurement execution, and downstream business functions. Proficiency in ERP systems (NetSuite preferred) and PLM software (Arena), alongside advanced Excel/Google Sheets skills (Pivot Tables, VLOOKUPs/XLOOKUPs). Exposure to or high interest in automation platforms, process mapping tools (e.g., Lucidchart, Miro), and AI tools (ChatGPT/Claude for work, API basics, or low‑code environments). Excellent communication skills, with the ability to translate “supply chain pain” into clear technical requirements for engineering and finance stakeholders. A self‑starter attitude with the instinct to fix the root cause of data errors or slow processes, rather than just treating the symptoms in a fast‑paced, high‑growth environment. What Success Looks Like Operational Stability: Consistent, accurate execution of all buyer responsibilities with a visible reduction in fire drills caused by data silos or manual handoffs. Improved Data Integrity: Maintenance of a highly accurate "single source of truth" within our primary systems (NetSuite/Arena) that perfectly mirrors GSM‑negotiated terms. Comprehensive Process Library: Delivery of a centralized repository of documented core procurement and master data workflows that are easy for the team to navigate and update. Measurable Efficiency Gains: Successful implementation of at least 2-3 automation or AI‑assisted quick wins that reduce manual data entry or administrative work hours for the supply chain team. Compensation Pay Range: $76,585 - $94,605 USD Benefits Comprehensive medical, dental, and vision insurance plans with BlueCross BlueShield, 95% paid by employer. 401(k) with company match. Flexible PTO plus 12 company holidays, additional paid days for sick leave, etc. Generous fully paid parental leave for both birth parents and non‑birth parents. Fully employer‑paid disability and life insurances. Wellness and fitness reimbursements. Monthly stipends for cell phone use and commuting costs. Onsite snacks, weekly catered lunch, and unlimited Bevi beverages. Happy hours, team‑building events, bagel breakfasts, values awards, and more. Accommodations Bevi is committed to an inclusive hiring process and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process, please contact View email address on click.appcast.io. A Note on AI in Our Hiring Process We use AI to help synthesize interview notes and surface themes from feedback, keeping our process consistent as we grow. Every application is reviewed by a member of our team, and interviews may be recorded to support note‑taking; let us know if you prefer we do not. We'll also ask how you’re learning and experimenting with AI in your work, as growing our AI fluency is something every Bevi team member is committed to and invested in. #J-18808-Ljbffr Bessemer Venture Partners India