Trusted Numbers:

The daily standup and weekly OTD reviews run on reporting this person owns: consistent definitions, reliable refreshes, no debate about whose number is right. Central ops and field leaders start the day aligned on what happened.

Root-Cause, Not Just Reporting:

When OTD moves in a market, hub, or for a client (Stord, Adidas, Ulta), this person can explain the drivers within hours using defect breakdowns, chronically underperforming zips, and hub-peer benchmarks. They don't hand over a dashboard and leave interpretation to someone else.

Delivering Beyond OTD:

Has taken at least one transportation or supply chain analytical project from question to recommendation, which proves the role's range extends past OTD reporting into network, labor, and cost problems.

AI-Assisted Tooling Shipped:

At least one useful piece of self-serve tooling or automated reporting is live, built hands-on with AI-assisted development, that removes recurring manual pulls and gives field leaders answers without routing through central. [

TBD:

target # of manual reports automated]

Ad Hoc Analytics Turned Around Fast:

Central ops and market leaders get high-quality ad hoc analysis on a tight turnaround, and the recurring questions become standing reports instead of getting re-run every week. Data the

Field Actually Uses:

Dashboards and reporting are adopted in the field, referenced in reviews and decisions rather than ignored. [

TBD:

self-serve adoption target] 12 Months OTD Analytics Is Self-Serve by

Default:

The routine OTD questions get answered by tooling this person built, which frees them to work the harder, non-obvious analyses. The function scales with the network without a matching rise in manual work.

The Trusted Analytical Voice:

This person is the go-to for OTD and for the transportation and supply chain questions central ops cares about. Leadership trusts their read of the data, and their analysis shapes where the network spends attention.

A Reusable Analytics Toolkit:

A library of queries, models, and AI-assisted tools makes each new market, client, or investigation faster to stand up than the last. 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.

Compensation Range:

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