Templates

Supply chain analyst job description template: the decisions, the data, the tools and the exempt question

On this page
  1. Name the seat: the decision it informs
  2. The supply chain analyst job description template
  3. Classification and certification lines, with sources
  4. From must-haves to screening questions and scorecard rows
  5. Common mistakes in supply chain analyst job descriptions
  6. Before you publish
  7. Questions people ask

"Supply chain analyst: analyze supply chain data to improve efficiency" fits a demand planning analyst tuning a forecast for a consumer goods company, an inventory analyst setting safety stock across three distribution centers, a transportation analyst comparing carrier performance and freight spend, a network analyst modeling where to open the next warehouse, and a procurement analyst tracking supplier risk and price variance. They all use spreadsheets and probably SQL, but the decisions, the stakeholders and the domain knowledge differ. A useful supply chain analyst job description names the decisions the analyst informs, the data and systems they will work in, the tools, the cadence (weekly planning cycle or one-off projects) and who acts on the recommendations. Below are the seat types, a copy-ready template, the classification and certification lines with sources, screening and scorecard rows, and the mistakes that bring in report builders when you needed analysts. For the first call, use the supply chain analyst screening questions.

Name the seat: the decision it informs

SeatWhat the work looks likeMust-have that separates it
Demand planning analystStatistical forecasts, forecast accuracy and bias, promotions and new items, consensus planning meetingsHas owned a forecast and can state how they measured and improved accuracy
Inventory analystSafety stock and reorder points, excess and obsolete stock, service level versus working capital trade-offsHas changed inventory policy for a set of items and can describe the effect on service and cash
Transportation or logistics analystFreight spend, carrier scorecards, lane analysis, mode shifts, accessorial chargesHas found and fixed a freight cost problem using shipment-level data
Network or strategy analystFacility location, capacity, cost-to-serve and scenario models, often project-basedHas built a scenario model leadership used to make a facility or sourcing decision
Procurement or supplier analystSpend cubes, price variance, supplier performance and risk, savings trackingHas cleaned messy spend data and turned it into a sourcing recommendation

Settle before writing: the decisions and who makes them, the planning cadence, the systems (ERP, planning, TMS, WMS), the tools (spreadsheets, SQL, a BI tool, Python or R, an optimization package), data quality as it really is, and the reporting line. If the role is mostly building dashboards for many departments, compare with the data analyst job description template; if it is mostly running sourcing events, the procurement specialist job description template fits better.

The supply chain analyst job description template

[Senior] Supply Chain Analyst, [Demand Planning / Inventory /
Transportation / Network / Procurement Analytics]
[Company], [city, state] — [On-site / Hybrid: days / Remote within:
states], travel about [N]% [to sites]
Pay: $[min]–$[max] per year. [Benefits summary, if required.]
[Exempt or non-exempt, after review.]

SUMMARY
You will help [planning / logistics / procurement] decide [how
much to buy and where to hold it / which carriers and lanes to use
/ where to place capacity]. You will work with data from [ERP,
planning system, TMS, WMS] covering about [N SKUs / N shipments a
month / N suppliers], using [spreadsheets, SQL, BI tool, Python].
Your recommendations go to [title], who [decides / approves].
The work runs on a [weekly planning cycle / quarterly projects /
mix].

WHAT YOU WILL DO
- Build and maintain [forecasts / inventory policies / freight
  and carrier analyses / scenario models].
- Find the cause of [forecast misses / stockouts / cost
  overruns] and recommend changes.
- Present recommendations with the trade-offs: service, cost,
  cash and risk.
- Improve data quality with the system owners; document
  definitions.
- Track whether recommendations worked and report results.

YOU MUST HAVE
- [N] years of analytical work in supply chain, operations,
  logistics or a related field.
- Strong spreadsheet skills and [SQL / BI tool] for data you
  pull yourself.
- An analysis you led that changed a decision.

NICE TO HAVE
- [Python or R], experience with [planning system], [CSCP or
  similar].
If you meet the must-haves and none of these, please apply.

HOW WE HIRE
[Recruiter screen; conversation with (manager); a take-home or
live exercise of at most (N) minutes using a sample data set we
provide; presenting the result to (manager and a planner).]

[EEO STATEMENT]
Need an adjustment to apply or interview? Contact [address].

Classification and certification lines, with sources

Not legal advice. The points below were checked against the federal regulations, Department of Labor pages and ASCM's published exam policies as of October 2026. State overtime rules can be stricter; confirm classification with counsel.

Exempt or nonexempt. The administrative exemption needs a salary of at least the standard level, which the Department of Labor lists as $684 a week, a primary duty of office work related to management or general business operations, and discretion and independent judgment on matters of significance (DOL Fact Sheet 17C). The regulations say providing consultation or expert advice to management is one factor, that the decisions can be recommendations rather than final actions, and that an employee who simply tabulates data is not exempt, even if labeled as a statistician (29 CFR 541.202). That distinction matches the seat question: an analyst who models trade-offs and recommends decisions is a better fit than one who refreshes reports on a schedule. Job titles do not settle it (DOL Fact Sheet 17A).

Certification. ASCM (formerly APICS) offers the CSCP. ASCM's exam handbook says it eliminated the CSCP eligibility requirement effective December 2, 2022, so holding it no longer implies a set number of years of experience. It shows interest in the field and a common vocabulary; list it as a plus.

Pay and EEO. Post the range, check pay transparency laws by state, and close with a short EEO statement and an accommodation contact.

From must-haves to screening questions and scorecard rows

Must-haveScreening questionScorecard competencyEvidence of a strong answer
Analysis that changed a decision"Tell me about an analysis that changed what the business did. How do you know it worked?"Business impactClear question, data used, decision made, measured result
Domain trade-offs"How would you decide safety stock for an item with erratic demand and a long lead time?"Supply chain reasoningTalks about service level, variability, lead time and cost, not just a formula
Data skill"What was the messiest data set you had to use, and what did you do about it?"Data handlingSpecific problems found, checks built, fixes pushed upstream
Forecast or model discipline"How did you measure whether your forecast or model was any good?"Analytical rigorA named metric, bias as well as error, a baseline for comparison
Influence"Describe a time a planner or manager ignored your recommendation. What did you do?"CommunicationUnderstood their concern, tested it, adjusted or made the case with data

The later rounds are in the interview guide for logistics roles, and the leader's first months are in the 30-60-90 day plan for supply chain managers.

Common mistakes in supply chain analyst job descriptions

Listing tools instead of decisions

"Excel, SQL, Tableau" tells a candidate how, not what. Name the decisions the analyst informs.

Pretending the data is clean

If half the job is fixing item masters and shipment records, say so. Good analysts respect honesty about data.

One analyst for five seats

Demand, inventory, transportation, network and procurement analytics together is a team, not a job. Pick the main one and name what is secondary.

No owner for the recommendations

Say who acts on the analysis. An analyst with no decision-maker is a report writer.

Credential as a gate

With no CSCP eligibility requirement since 2022, the credential does not prove experience. Ask for the work.

Before you publish

  • The seat, the decisions it informs and the decision-maker are in the summary.
  • Systems, tools and data scale are named honestly.
  • The cadence (weekly cycle or projects) is stated.
  • Classification has been reviewed against the duties test.
  • Pay range, EEO statement and an accommodation contact close the posting.

Questions people ask

What does a supply chain analyst do?

They turn supply chain data into decisions: how much to order, where to hold inventory, which carrier or lane to use, which supplier is a risk. The title covers demand planning, inventory, transportation, network and procurement analytics, so the posting should name the decisions the analyst will inform and who acts on them.

Is a supply chain analyst exempt from overtime?

It depends on the work. The administrative exemption needs a salary of at least the standard level, which the Department of Labor lists as $684 a week, and discretion and independent judgment on matters of significance; recommendations to management can count. The regulations also say an employee who simply tabulates data is not exempt, even if labeled a statistician. An analyst who builds models and recommends decisions fits better than one who refreshes reports. Review each seat and check state law.

Should a supply chain analyst posting require the CSCP?

Usually list it as a plus. ASCM removed the CSCP eligibility requirement effective December 2, 2022, so it no longer signals a set number of years of experience. Ask for evidence of analysis that changed a decision instead.

What is a good first screening question for a supply chain analyst?

Ask about one analysis that changed a decision: the question, the data they used, what they found, what the business did and how they know it worked. Analysts who have done the work describe the data problems and the trade-off; others describe the dashboard.