Network Planning Analyst
About the role
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 evolving needs of e-commerce 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 e-commerce 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.
We make decisions based on the latest data and insights, ensuring that our operations align with our clients' goals. 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.
Responsibilities
Translate the DS forecast into an ops-usable plan. Rebuild DS output at the client × injection-facility × day level, apply adjustments DS can't see, and publish a single planning number.
Layer in client events DS doesn't see. Maintain a live calendar of client sales, promos, launches, and known volume pulls. Work with Client Services and Account Management so events land in the plan before they hit the network.
Own the daily variance review. Review forecast vs. actual at planning grain daily, tag root cause (DS model miss, missed client event, facility execution, data issue, real demand surprise), and feed learnings back to DS and into the next plan.
Be the named owner of the planning number. Defend it to Ground Ops, Transpo, and leadership; adjust it when new information justifies it.
Operate inside Volume Radar. Build the internal planning dashboard daily, read forecast-vs.-real-time signals, and escalate hot facilities with context. Provide structured feedback to engineering on tool improvements.
Requirements
Strong SQL — writes multi-CTE queries against a warehouse without hand-holding. Databricks SQL a plus.
Forecast translation and demand planning — can take a model output and turn it into a number an operator will actually trust and use.
Excel / Sheets fluency for capacity modeling, forecast adjustment, and quick-turn analysis.
Variance analysis and root-cause diagnosis — takes a miss, decomposes it, and feeds back something actionable.
Cross-functional stakeholder management — translates fluently between DS, Ground Ops, Transportation, and Client Services.
Clear written and verbal communication, especially under time pressure.
Strong AI capabilities.
Experience 3–6 years in network planning, demand planning, S&OP, supply-chain analytics, transportation planning, or last-/middle-mile operations analytics.
Has worked closely with a data science or forecasting team — has challenged a model output and fed signal back in.
Personally owned a planning number for a real operation (not just produced an analysis someone else acted on).
Parcel, last-mile, or middle-mile experience strongly preferred.
Skills
Strong SQL — writes multi-CTE queries against a warehouse without hand-holding. Databricks SQL a plus.
Forecast translation and demand planning — can take a model output and turn it into a number an operator will actually trust and use.
Excel / Sheets fluency for capacity modeling, forecast adjustment, and quick-turn analysis.
Variance analysis and root-cause diagnosis — takes a miss, decomposes it, and feeds back something actionable.
Cross-functional stakeholder management — translates fluently between DS, Ground Ops, Transportation, and Client Services.
Clear written and verbal communication, especially under time pressure.
Strong AI capabilities.
Experience 3–6 years in network planning, demand planning, S&OP, supply-chain analytics, transportation planning, or last-/middle-mile operations analytics.
Has worked closely with a data science or forecasting team — has challenged a model output and fed signal back in.
Personally owned a planning number for a real operation (not just produced an analysis someone else acted on).
Parcel, last-mile, or middle-mile experience strongly preferred.
Benefits
No benefits listed.
Pay
The base pay range for this role is $140,000 – $160,000 per year.
Schedule
No schedule listed.