Top 12 Replenishment Analyst Skills to Put on Your Resume

In inventory management’s whirring machinery, a Replenishment Analyst keeps the shelves breathing. Not too much stock. Not too little. Just enough, timed right, backed by data that doesn’t blink. Showcasing sharp, current skills signals you can forecast without flinching, wrangle suppliers, and bend messy datasets into clean decisions that move product without waste.

Replenishment Analyst Skills

1. Excel
2. SAP
3. SQL
4. Forecasting
5. Inventory Management
6. Tableau
7. Power BI
8. Demand Planning
9. ERP Systems
10. JDA
11. Supply Chain Analytics
12. Oracle Cloud

1. Excel

Excel is a spreadsheet workhorse for organizing, analyzing, and modeling data. In replenishment, it powers demand analysis, safety stock math, parameter tuning, and quick scenario tests without waiting on IT.

Why It's Important

It’s fast, flexible, and everywhere. Pivot tables, dynamic arrays, charts, and ad‑hoc models help you spot trends, stress test assumptions, and translate raw numbers into replenishment actions.

How to Improve Excel Skills

Level up with focused practice that targets real replenishment problems:

1. Modern functions: XLOOKUP, XMATCH, FILTER, UNIQUE, LET, LAMBDA, and dynamic arrays for cleaner models than brittle nested formulas.

2. Power Query: Automate data import, cleanse, and reshape across files and systems. Build refreshable pipelines so reports aren’t hand-stitched.

3. Power Pivot & Data Model: Use relationships and DAX for measures like inventory turns, WAPE, bias, and service levels across large datasets.

4. Pivots and charts: Slice by channel, location, SKU. Add slicers, timelines, and sparklines. Create quick dashboards that actually answer “why.”

5. Forecasting tools: ETS forecasting, seasonality detection, confidence intervals, and backtesting with MAPE/WAPE to decide what to trust.

6. Automation: Macros/VBA for repetitive steps; Office Scripts in the web app when code beats clicks.

Build templates you can reuse. Then break them—deliberately—to harden them.

How to Display Excel Skills on Your Resume

2. SAP

SAP (commonly S/4HANA today) is an enterprise platform for planning, procurement, inventory, and execution. For replenishment, it’s the engine behind MRP, allocations, parameter control, and analytics. IBP covers demand, supply, and inventory planning at a more strategic cadence.

Why It's Important

It centralizes master data, enforces process, and executes replenishment at scale. When tuned well, it shrinks stockouts, trims overstock, and shortens decision cycles.

How to Improve SAP Skills

1. Parameter mastery: Get surgical with lot sizing, reorder points, min/max, lead times, safety stocks, MRP areas, and rounding values. Small tweaks, big effects.

2. Adopt the current stack: Prioritize SAP IBP for demand/supply/inventory planning and embedded PP/DS in S/4HANA. Treat legacy APO as sunset.

3. Data discipline: Clean product/location master data, calendars, sourcing lists, substitution chains, and segmentation (ABC/XYZ). Governance beats scramble.

4. Automation: Use MRP Live, background jobs, and exception monitors. Route recurring work to the system; keep people on decisions.

5. Fiori & analytics: Leverage Fiori apps and embedded analytics/CDS views. Build role-based tiles that surface exceptions first.

6. Cross-team fluency: Sync with procurement, production, and logistics. Replenishment breaks when silos do the planning.

How to Display SAP Skills on Your Resume

3. SQL

SQL is the language for retrieving, shaping, and aggregating data from relational databases. Replenishment relies on it to stitch sales, inventory, lead time, and supplier signals into something forecast-worthy.

Why It's Important

It unlocks trustworthy, fast queries over large datasets, enabling granular analysis of demand, service levels, and inventory posture—without waiting for a new report.

How to Improve SQL Skills

1. Schema awareness: Understand keys, relationships, and grain. Wrong joins create fairy tales.

2. Core fluency: SELECT, WHERE, GROUP BY, HAVING, JOINs, CTEs, window functions (LAG/LEAD, ROW_NUMBER), and conditional aggregates.

3. Performance thinking: Read query plans. Index appropriately. Avoid needless subqueries; pre-aggregate when it helps.

4. Data hygiene: Handle nulls, outliers, timezone calendars, and late-arriving facts. Document definitions for KPIs.

5. Automation: Parameterize queries, schedule jobs, and template common analyses so refresh beats rebuild.

6. Governance: Create vetted views for recurring metrics—turn bespoke SQL into shared building blocks.

How to Display SQL Skills on Your Resume

4. Forecasting

Forecasting predicts future demand from history, seasonality, events, and context, so you can set inventory policies that hit service without bloating stock.

Why It's Important

Good forecasts steady the supply chain. They lower expedites, reduce aged inventory, and let you plan capacity instead of firefighting it.

How to Improve Forecasting Skills

1. Data first: Clean history. Adjust for one-time events, stockouts, and calendar shifts. Bad in, bad forever.

2. Model fit: Use the right approach per pattern—naive baselines, ETS, regression with events, or intermittent demand methods (e.g., Croston variants).

3. Accuracy discipline: Track MAPE/WAPE, bias, and service outcomes. Backtest. Replace “feel” with evidence.

4. Segmentation: Forecast by channel, location, and product class (ABC/XYZ). One-size fits none.

5. Collaboration: Pull in sales, marketing, and supply constraints. Consensus beats heroics.

6. Safety stock math: Link variability and lead time to service targets. Recalculate as volatility shifts.

7. Continuous learning: Monitor drift and seasonality changes. Recalibrate models and parameters routinely.

How to Display Forecasting Skills on Your Resume

5. Inventory Management

Inventory Management steers ordering, storage, and deployment so products are available when needed—no dust-gathering excess, no empty hooks.

Why It's Important

It ties capital to service. Strong methods deliver the right stock at the right place, at the right time, for the right cost.

How to Improve Inventory Management Skills

1. Policy design: Choose reorder point, min/max, or periodic review by segment. Align with variability and demand patterns.

2. ABC/XYZ: Prioritize high-value and high-variability items for tighter control and more frequent review.

3. Safety stock: Base buffers on forecast error and lead time variability. Revisit as suppliers or demand shift.

4. Lead time truth: Measure actuals, not promises. Update parameters when reality changes.

5. Cycle counting: Verify records, find process leaks, and improve accuracy without shutdowns.

6. Supplier alignment: Share demand signals, negotiate MOQs/packs, and agree on order cadence to avoid whiplash.

7. Health metrics: Monitor turns, DOH, aged stock, fill rate, OTIF. Let the numbers tug you to root causes.

How to Display Inventory Management Skills on Your Resume

6. Tableau

Tableau turns data into visuals that actually get read. For replenishment, it makes exceptions obvious and trends hard to ignore.

Why It's Important

Interactive dashboards let you drill from network patterns to SKU specifics fast, then share the picture with teams who decide.

How to Improve Tableau Skills

1. Data model clarity: Use relationships or joins intentionally. Know your grain and avoid duplicates.

2. LOD expressions: Fix calculations at the right level (per SKU, per location) to match how decisions get made.

3. Parameters & actions: Build controls for “what if” and guided exploration. Let users probe without breaking things.

4. Performance: Prefer extracts when it helps, trim shelves, and optimize calculations. Speed earns trust.

5. Design for decisions: Highlight exceptions, not confetti. Tooltips can do more than whisper.

6. Governance: Publish certified data sources. Reuse, don’t reinvent.

How to Display Tableau Skills on Your Resume

7. Power BI

Power BI is a business analytics suite for modeling, visualizing, and sharing insights. It’s a natural fit for tracking demand, inventory posture, and service outcomes.

Why It's Important

It combines robust modeling (DAX) with slick visuals and governed distribution, so replenishment signals move quickly and consistently.

How to Improve Power BI Skills

1. Star schema: Build facts and conformed dimensions. Clean models make DAX calm.

2. DAX fluency: Time intelligence, filter context, CALCULATE, iterators, and semi-additive measures for inventory and service KPIs.

3. Power Query (M): Create deterministic transforms for repeatable refreshes across messy sources.

4. Performance tuning: Incremental refresh, aggregation tables, proper relationships, and minimizing bi-directional filters.

5. Distribution & security: Row-level security, shared datasets, deployment pipelines. Keep one truth, many views.

6. DirectQuery/Import: Choose wisely. Speed vs freshness isn’t a trivial trade.

How to Display Power BI Skills on Your Resume

8. Demand Planning

Demand Planning turns signals into consensus numbers the business can act on—feeding replenishment with a plan that’s believable and executable.

Why It's Important

It reduces noise, aligns teams, and lowers the cost of being wrong. Replenishment rides on its shoulders.

How to Improve Demand Planning Skills

1. Process cadence: Establish a monthly rhythm (demand review, supply review, executive alignment). No surprises at quarter-end.

2. Segmentation: Differentiate strategies for stable, seasonal, and intermittent items. Promotions and launches need separate handling.

3. Signal fusion: Blend history with orders, market intel, and constraints. Weight what’s predictive, mute what’s noise.

4. Bias control: Track and correct over/under-forecasting. Incentives can warp numbers—design around that.

5. CPFR: Share and reconcile with key customers and suppliers. Joint plans cut bullwhip.

6. Governance: Document assumptions, version changes, and approvals. Institutional memory beats inbox archaeology.

How to Display Demand Planning Skills on Your Resume

9. ERP Systems

ERP platforms integrate purchasing, inventory, finance, and fulfillment. Think SAP S/4HANA, Oracle Fusion Cloud, Microsoft Dynamics 365. Replenishment depends on their master data and execution muscle.

Why It's Important

One system of record reduces contradictions. Real-time visibility and standardized workflows make planning credible—and repeatable.

How to Improve ERP Systems Skills

1. Master data rigor: Product, vendor, location, calendars, and sourcing rules must be clean and current. Non-negotiable.

2. Parameter governance: Centralize safety stocks, lead times, order cycles, MOQ/pack, and rounding. Review on a cadence.

3. Automation: Use scheduled MRP, exception messages, and workflow approvals. Humans handle exceptions, not drudgery.

4. Integrations: Tighten supplier/customer data exchange for lead time, ASN, and inventory positions. Latency kills.

5. Reporting layer: Publish standard KPI dashboards. Build from curated data models, not ad-hoc extracts.

How to Display ERP Systems Skills on Your Resume

10. JDA

JDA—now Blue Yonder—provides planning and replenishment solutions (e.g., Demand, Fulfillment, Inventory Optimization) on the Luminate platform.

Why It's Important

It learns demand patterns, suggests orders, and prioritizes exceptions, allowing analysts to scale good decisions across sprawling assortments.

How to Improve JDA Skills

1. Know the algorithms: Understand how policies and parameters drive reorder recommendations. Turn the dials with intent.

2. Forecast tuning: Calibrate smoothing, event lifts, and demand sensing inputs. Track accuracy and bias relentlessly.

3. Segmentation-led policies: Different rules for A vs C items, stable vs lumpy, DC vs store. Granularity pays.

4. Exception management: Configure alerts that matter. Triage by value-at-risk, not alphabetical order.

5. Data hygiene: Validate lead times, packs, substitutions, and discontinuations. Garbage parameters sabotage smart math.

6. Release management: Keep up with platform updates and new features. Adopt what saves time or improves accuracy.

How to Display JDA Skills on Your Resume

11. Supply Chain Analytics

Supply Chain Analytics turns raw flows into insight—forecast quality, inventory posture, lead time truth, service outcomes—and then into action.

Why It's Important

Without analytics, you steer blind. With it, you target the right levers and measure if they actually moved.

How to Improve Supply Chain Analytics Skills

1. Data strategy: Define a single source of truth for core facts and dimensions. Versioned, tested, documented.

2. Meaningful KPIs: Forecast accuracy/WAPE, bias, fill rate, OTIF, DOH, turns, aged stock, and backorder trend. No vanity metrics.

3. Predictive modeling: Use features like seasonality flags, promo markers, and lead time variability. Monitor drift and recalibrate.

4. Real-time signals: Pull in point-of-sale, IoT, and logistics events for faster exception response.

5. Scenario planning: What-ifs for demand surges, supplier slips, and policy changes. Quantify trade-offs.

6. Storytelling: Visuals that drive decisions, not decoration. Clear context, clear call to action.

How to Display Supply Chain Analytics Skills on Your Resume

12. Oracle Cloud

Oracle Cloud (commonly Oracle Fusion Cloud SCM with Planning, Inventory, Order Management, and Analytics) delivers planning, execution, and reporting in the cloud.

Why It's Important

It connects demand signals to replenishment actions with configurable policies, embedded analytics, and dependable workflows—across sites and partners.

How to Improve Oracle Cloud Skills

1. Master data & policies: Clean product/location/vendor data. Configure min-max, reorder point, safety stock, and lead times per segment.

2. Demand & supply planning: Use demand models with event/promo inputs, then translate plans into replenishment orders with capacity and constraints in view.

3. Exception-driven work: Build dashboards for shortages, excess, and aging. Prioritize by value and service risk.

4. Analytics: Track service, inventory turns, and forecast performance with curated datasets. Standardize definitions across teams.

5. Automation: Schedule planning runs, approvals, and order releases. Reduce manual touches; keep audit trails tight.

How to Display Oracle Cloud Skills on Your Resume