Lead Analyst, Supply Chain & Operations Analytics

Veho•New York City, NY

About The Position

Veho's mission is to power the future of commerce by making shopping, shipping and returns seamless for everyone. We are building a modern, end-to-end logistics infrastructure designed entirely for the ever-evolving needs of ecommerce brands and everyday consumers. Powered by next-generation technology and a vertically integrated supply chain, Veho gives brands and their customers unprecedented control over their deliveries and removes the pain from the ecommerce post-purchase experience. We make delivery the ‘extension of the brand’ and leverage it to create deeper loyalty and trust between brands and their customers, driving customer retention and lifetime value. Our rapidly growing client list includes leading consumer brands like Hello Fresh, Zara, Macy’s, Sephora, and more. To truly build an iconic company, we strongly believe that our people and values must be aligned with our mission. As such, we take pride in our championship team, merit-based culture. We seek team players who want to compete, win, make an impact and build a legacy, and we reward performance and impact players with generous equity and incredible career growth opportunities. This role is the analytical backbone of Veho's ground operations. On-Time Delivery (OTD) is the anchor: the person owns OTD analytics end to end and turns operational data into decisions the field and central ops can act on the same day. The mandate runs wider than OTD, though. This is the go-to analyst for transportation and middle-mile projects and for supply chain analytical work across the network, wherever central ops needs a rigorous, data-first answer. As Veho scales across markets and 3PL partners, the daily standup and OTD cadence only works if someone produces clean, trusted numbers and can explain why a metric moved, not just that it moved. The same person needs the range to pick up a transportation or network question cold and drive it to a recommendation. The job is two-handed. It takes enough rigor in SQL and analysis to root-cause a defect trend across hubs and zips or model a transportation lane, and enough resourcefulness to build the tooling that automates the work, increasingly by using AI to move faster than a traditional analyst could.

Requirements

3+ years in analytics, BI, data analysis, or strategy and operations, with meaningful hands-on time in the data rather than presenting other people's work
Strong, demonstrable SQL skills. Has independently written the queries behind real reporting or analysis
Has built dashboards or reporting tooling hands-on, and has used AI tools to speed up that building
Background in a physical, high-volume operations environment (logistics, fulfillment, last-mile, e-commerce ops), or clear evidence they pick up operational context fast
Track record turning ambiguous operational questions into clear analysis on a tight turnaround
Range across more than one analytical area. Has done transportation, network, labor, or cost analysis on top of performance reporting, not a single-metric specialist

Nice To Haves

Experience at a tech-enabled operator and time at a high-growth startup
Familiarity with Databricks or warehouse-scale SQL
Exposure to on-time delivery, defect, or delivery-quality metrics
Experience supporting an operating cadence (standups, ops reviews) with live reporting

Responsibilities

Own the data and reporting behind the daily standup, OTD calls, and weekly and monthly OTD reviews: clean, reliable, consistently defined
Produce the OTD read leadership and the field run on, covering defect rates, DPMP, and late-delivery drivers by market, hub, zip, and client
Maintain trusted metric definitions so the cadence never stalls on whose number is right
Root-cause OTD movements. Separate what is actually driving a gap from what is merely correlated, across hub, zip, client, defect type, and hub-peer benchmarks
Turn around ad hoc analytical requests from central ops and market leaders quickly and with rigor
Convert recurring ad hoc questions into standing reports so they don't get re-run by hand
Own the roll-vs-run analysis (built by the current lead) and build a durable way to keep it current instead of rebuilding it by hand each time
Labor and hours analysis: right-size staffing against volume and surface where hours are out of line with the work.
Package loss and stow quality deep dives, turning each into analysis central ops can act on
Pick up ad hoc network projects when capacity demands it
Build self-serve dashboards and reporting tools hands-on, writing SQL and using AI-assisted development to ship faster than a traditional analyst workflow allows
Automate repetitive operational reporting and monitoring to free up their own time and field leaders' bandwidth
Manage all GO reporting tools and streamline all self build tooling
Partner with the Bogota-based analytics-engineering function on anything that needs to be productionized or scaled beyond what one analyst can maintain