Supply chain data analyst with 4 years in retail distribution and inventory planning. Built a SKU-level safety stock model that cut stockouts 22% while lowering inventory by $3.5M. Works closely with planners and DC managers to put analysis into daily decisions.
Experience
Supply Chain Data Analyst, Hollowell Home & Garden (Atlanta, GA)
Mar 2023 – Present
Built a SKU-level safety stock model in Python across 18,000 items and 4 DCs, cutting stockouts 22% and inventory by $3.5M
Created Power BI dashboards for fill rate, on-time delivery and carrier cost used in weekly S&OP meetings
Automated vendor scorecards from SAP and WMS data with SQL, saving planners 10 hours a week
Analyzed lane-level freight spend to support a carrier bid that saved 7% on LTL costs
Inventory Analyst, Peachline Distribution (Marietta, GA)
Jun 2021 – Feb 2023
Ran cycle count variance analysis that raised inventory record accuracy from 95% to 98.6%
Maintained replenishment parameters for 6,000 SKUs in Excel and the WMS
Education
B.B.A. Logistics and Supply Chain Management, Georgia Southern University (Aug 2017 – May 2021)
Tools: SQL, Python, Power BI, Excel, SAP S/4HANA, Manhattan WMS
Certifications: APICS CPIM
How to write a Supply Chain Data Analyst resume
A strong Supply Chain Data Analyst resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Put your most relevant recent role first and make every bullet show a result, not a duty.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page for most candidates; move to two only if every line is relevant.
Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.
Skills to feature
SQL
Python or R
Statistics
Machine learning
Data modeling
dbt and ELT pipelines
BI tools (Looker, Tableau, Power BI)
Experiment design
Data visualization
Stakeholder communication
Example bullet points
Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year
Rebuilt the revenue dashboard on dbt and Looker, cutting refresh time from 6 hours to 20 minutes
Designed 25 A/B tests with sequential analysis, shortening the average test from 4 weeks to 10 days
Tips from recruiters
Pair every technique with the decision it informed; "built a model" alone says little.
List tools under grouped skills ("Analytics: SQL, dbt, Looker") so ATS keyword matches are exact.
Link a notebook, Kaggle profile or public analysis if you have one.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Modern (ATS-friendly): Clean single column with accent headings and rules
Compact (ATS-friendly): Dense single column that fits long histories
Supply Chain Data Analyst resume FAQ
What should a Supply Chain Data Analyst resume include?
A Supply Chain Data Analyst resume should show the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.
What is the best resume template for a Supply Chain Data Analyst?
Classic, Modern and Compact work well for Supply Chain Data Analyst roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Supply Chain Data Analyst resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Supply Chain Data Analyst put on a resume?
Prioritize the skills named in the job posting. Common ones for Supply Chain Data Analyst roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Supply Chain Data Analyst resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as forecast accuracy, revenue impact and query time. For example: "Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year."