Supply Chain Analyst
How well this resume fits
Compared with a sample resume. Compare your own
Not sure You meet 1 of 6 required items, partly 2, and 3 can't be told from your resume.
How close the work is
Strong2 of 2 named skills are shown in described work and 0 are only listed or mentioned (rule: met = 1, partial = ½; strong ≥ 75%, moderate ≥ 50%).
How strong your resume shows it
StrongOf 4 supported items, 2 have strong evidence (a reported result or a confirmed answer) and 0 moderate (used in a described task).
What the job asks for
| What the job asks | Required? | Do you have it? | From your resume |
|---|---|---|---|
| 1–3 years in supply chain, demand planning, inventory, or fulfillment operations for a physical product | Required | Partly The résumé text names Supply chain, Forecasting, Operations, but the rules can't tell how it was used; check it. | Harborline Logistics | Columbus, OH | Jun 2022 – Present Wrote a demand forecast in Python (pandas, statsmodels) for 120 lanes that cut forecast error from 22% to 14%. Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. |
| You’ve built and maintained a real forecast and can explain where it was wrong | Required | Partly The résumé text names Forecasting, but the rules can't tell how it was used; check it. | Wrote a demand forecast in Python (pandas, statsmodels) for 120 lanes that cut forecast error from 22% to 14%. |
| Skill Excel Advanced Excel or Google Sheets skills and comfort working with messy data from multiple systems | Required | Yes The résumé shows Excel used with a reported result. | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. SQL (SQL Server, PostgreSQL), Python (pandas, NumPy, statsmodels, matplotlib), Tableau, Power BI, Excel (pivot tables, Power Query, XLOOKUP), Git, A/B testing, regression, forecasting, data cleaning, data quality checks Merged enrollment and retention data from three systems in Excel and Access for the annual retention report. |
| Strong understanding of lead times, safety stock, reorder points, and MOQs | Required | Not sure The rules can't check this against the résumé. | Nothing found |
| High attention to detail and ownership of the accuracy of your work | Required | Not sure The rules can't check this against the résumé. | Nothing found |
| You chase answers, move quickly, and figure things out without detailed instructions | Required | Not sure The rules can't check this against the résumé. | Nothing found |
| Skill SQL Experience with Amazon FBA, 3PLs, WMS/ERP systems, SQL, or high-growth ecommerce is a strong plus | Nice to have | Yes The résumé shows SQL used with a reported result. | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. Built and maintain 14 Tableau dashboards on SQL Server for on-time delivery, carrier cost and warehouse throughput, used by 60+ managers each week. Pulled and cleaned patient visit data (about 2M rows a month) in SQL and Python for clinic scheduling reports. |
How the match was worked out
Coverage: what the job asks, what the résumé shows, what is left
55% of the weighted requirements are covered by résumé evidence. preferred: met 1, partly 0, missing 0 · required: met 1, partly 2, missing 2
weight = 3 required / 2 preferred / 1 unknown, +1 emphasis (expert, strong, extensive…), +1 named in the job title, +½ per repeat (max +1); rating = 3 met, 2 partially met with the term in described work, 1.5 partially met (listed or mentioned), 0 unknown or mismatch; coverage = Σ weight×rating/3 ÷ Σ weight over rows that can be judged (work-authorization, location and clearance rows need your answer and are left out).
Missing from the résumé
- required r4 Strong understanding of lead times, safety stock, reorder points, and MOQs (weight 4.0) missing: lead times, safety stock, reorder points, MOQs
- required r5 High attention to detail and ownership of the accuracy of your work (weight 3.0) missing: Attention to detail, Self-starter
Only partly shown
- required r1 1–3 years in supply chain, demand planning, inventory, or fulfillment operations for a physical product (weight 3.0) found: Supply chain, Forecasting, Operations
- required r2 You’ve built and maintained a real forecast and can explain where it was wrong (weight 3.0) found: Forecasting
Needs your answer
Nothing depends on an answer.
Sentences the rules cannot check (not counted)
- required r6 You chase answers, move quickly, and figure things out without detailed instructions (weight 3.0)
What the role does (not weighted)
On the résumé: Forecasting, Supply chain, Data warehousing
Not on the résumé: Pocket, DTC, Amazon, E-commerce, Process improvement, PL, Accounting, Attention to detail
Job title terms: Supply chain (found)
What the résumé says (as the rules read it)
Skills: Python (supported by outcome), SQL (supported by outcome), Tableau (supported by outcome), Excel (supported by outcome), pandas (supported by outcome), PostgreSQL (used in task), A/B testing (listed), Git (listed), Matplotlib (listed), NumPy (listed), Power BI (listed)
Roles: Data Analyst at Harborline Logistics (Jun 2022 – Present); Junior Data Analyst at Cedar Ridge Health Network (Jul 2020 – May 2022); Data Analytics Intern at Lakeshore State University, Office of Institutional Research (May 2019 – Aug 2019)
Years in dated roles: 6.7
Education: B.S. in Statistics (completed)
Certifications: Tableau Desktop Specialist, Google Data Analytics Professional Certificate
Quantified achievements: 4
On the résumé but not asked by this job: Healthcare, Reporting, Dashboards, SQL querying, Data warehousing, Data cleaning, Active Directory, Finance, Data analysis, Research, Spreadsheets, Statistics
Résumé terms the rules don't know: OH, Server, Network, Office, Access, NYC, Taxi Trip Analysis, Tableau Public, Harborline, Economics, Professional Certificate (matched by plain text only; tell us if one should be a skill)
Job description
About the role The owner of Pocket’s demand forecast, inventory health, and fulfillment planning. You answer three critical questions: how many units we’re going to sell, when we need to order them, and where the inventory needs to be. Pocket sells physical products across DTC, Amazon, retail, and international markets. You’ll monitor demand, identify stock risks early, and coordinate with warehouses and fulfillment partners to keep products available without tying up unnecessary cash. This is a hands-on role on a lean team. You’ll work with imperfect data, build processes where none exist, and directly influence availability, delivery speed, and shipping cost. What you'll own - Daily demand monitoring and the weekly forecast across channels, SKUs, and colorways - Reorder points, safety stock, days of coverage, and purchase order recommendations - Stockout and overstock risk identification, with clear mitigation plans - Amazon FBA shipment planning and inventory health across marketplaces - Day-to-day execution with 3PL and fulfillment partners - Inventory placement across warehouses to balance availability, delivery speed, and cost - Reconciliation of inventory and fulfillment data across systems - The core numbers: forecast accuracy, in-stock rate, inventory turns, days of coverage, and fulfillment cost What we're looking for - 1–3 years in supply chain, demand planning, inventory, or fulfillment operations for a physical product - You’ve built and maintained a real forecast and can explain where it was wrong - Advanced Excel or Google Sheets skills and comfort working with messy data from multiple systems - Strong understanding of lead times, safety stock, reorder points, and MOQs - High attention to detail and ownership of the accuracy of your work - You chase answers, move quickly, and figure things out without detailed instructions - Experience with Amazon FBA, 3PLs, WMS/ERP systems, SQL, or high-growth ecommerce is a strong plus What we offer - Direct impact on inventory and fulfillment at a fast-scaling YC company - High ownership and direct access to founders and the senior team - A lean, fast-moving environment with room to grow into broader supply chain ownership About Pocket Pocket is a Y Combinator W26 company building a premium hardware plus software product in the AI voice recorder space. We are obsessed with quality and speed. We are scaling very fast in the US and now European markets and building a device experience that can become the category leader. Compensation Range: $120K - $150K