Lead Analyst, Supply Chain & Operations Analytics

KEY RESPONSIBILITIES OTD Analytics and Reporting Cadence - 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 Key metrics: OTD by market, DPMP, defect breakdown accuracy, on-time delivery of the reporting itself Root-Cause and Ad Hoc Analysis - 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 Key metrics: time-to-insight, share of recurring questions productized Operational and Supply Chain Projects - 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 Key metrics: projects delivered, decision impact, quality of analysis Tooling and Automation (AI-Assisted) - 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 Key metrics: # of manual reports automated, self-serve adoption, tooling reliability IDEAL CANDIDATE ARCHETYPE Skillset - SQL Fluency: Writes SQL comfortably and independently.

Can go from a vague operational question to a clean, correct query without hand-holding. This is non-negotiable. The role lives in the data. - AI-Assisted Building: Uses AI tools to build dashboards, scripts, and lightweight tooling faster than a traditional analyst.

Not just a consumer of AI, but someone who has shipped working things with it. This is how the role keeps up with a scaling network. - Analytical Rigor: Operates from data first. Can identify what is actually driving a performance gap versus what is merely correlated, and turn a messy operational dataset into a clear, defensible recommendation. - Range Across Supply Chain: Comfortable working beyond OTD.

Can pick up a transportation, labor, package-loss, or stow-quality question cold, scope it, and drive it to an answer. Curious and quick to learn a new part of the operation. - BI and Spreadsheet Depth: Strong in BI tools and advanced Excel or Sheets. Builds reporting that field leaders trust and use. - Operational Translation: Turns numbers into a story an ops person can act on.

Knows the difference between a dashboard and an answer, and delivers the answer. - Communication Under Time Pressure: Can stand up in a daily standup and explain what the data says clearly, on the spot, without a week of prep. Leadership Traits - Ownership: Treats the analytics as theirs. Chases down the data-quality issue and doesn't wait to be asked for the follow-up cut. - Player Who Builds: At Veho's stage this person does the work: writes the query, builds the tool, runs the analysis.

Comfortable being the whole function, not directing one. - Moves with Velocity: Ships a good-enough V1, gets feedback, and iterates. Doesn't spend two weeks perfecting a dashboard nobody has seen yet. - Direct Communicator: Says what the data shows, including when it is inconvenient or when a requested cut won't answer the real question. - Systems Thinker: When the same manual pull comes up three weeks running, builds the tool instead of re-running it. - Comfortable with Ambiguity: The analytics function is still being built.

This person can define what good reporting looks like and build it, rather than waiting for a spec. Experience Must Have: - 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 Good to Have: - 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 Veho is a growth company that looks for team members to grow with it.

No matter the location, or the role, every Veho teammate shares one galvanizing mission: driving commerce forward with a customer-centric delivery and returns experience that's built for the modern era. We are deeply value-driven (Team Up, Drive Impact, Take Ownership, Solve Bigger, Obsess Over Experience, Make Today Count) and care tremendously about investing in our high-performers.

Join us in building the future of ecommerce logistics and in doing the work of our lifetime! All California applicants please reference our California Applicant Privacy Notice located here https://drive.google.com/file/d/1yvI9KKjVm6YUurqLi_LTQtdh7d0J7Lrd/view?usp=sharing.