Data Analyst- Supply Chain

Nature's Sunshine Products•Spanish Fork, UT

About The Position

This role converts raw operational data into decisions that improve service, cost, and speed across our global supply chain. By building trusted metrics and actionable analytics, you will help us deliver on our mission and contribute to a culture that's "a Force of Nature" through smarter, more sustainable operations and inclusive teamwork.

Requirements

Bachelor's degree in Supply Chain, Industrial Engineering, Information Systems, Statistics, or related field.
3–5+ years in supply chain analytics, planning, or operations with measurable business impact.
Strong Power BI skills (DAX, Power Query) and advanced Excel (Power Pivot, complex formulas, scenario modeling).
Experience working with ERP data (Oracle EBS or similar) across items, inventory, purchasing, work orders, and order management.
Ability to translate business questions into datasets, metrics, and visuals; excellent story‑telling and stakeholder communication.

Nice To Haves

SQL for data extraction and transformation (joins, CTEs, window functions).
Python (pandas) for data prep, analytics automation, or pipeline support.
Experience with S&OP analytics, inventory optimization methods (ABC/XYZ, safety stock, EOQ/MOQ), or capacity modeling.
Familiarity with data quality frameworks and master data governance.
Certifications: APICS CPIM/CSCP, Microsoft PL‑300 (Power BI Data Analyst).

Responsibilities

Own core supply chain KPIs and publish weekly/monthly dashboards for forecast accuracy (MAPE/bias), customer service/OTIF, inventory turns/DOH, capacity utilization, production adherence, and supplier OTIF.
Build robust data models that combine ERP (e.g., Oracle E‑Business Suite) with planning, logistics, and quality data; implement efficient SQL transformations and governed data sets for reuse.
Develop self‑service analytics in Power BI (DAX/Power Query) and Excel for planners, procurement, manufacturing, distribution, and leadership-standardizing definitions and drill‑downs.
Support S&OP: prepare demand/supply analytics, scenario modeling, and pre‑reads; quantify risks/opportunities and surface drivers that guide consensus.
Inventory & service optimization: create diagnostic reports for safety stock, MOQ/EOQ health, lead‑time variability, slow/no‑move, and phase‑in/phase‑out; recommend actions with quantified impact.
Data quality and governance: define data contracts, run data quality checks (completeness, timeliness, accuracy), and coordinate fixes for master data elements (items, suppliers, sites, BOMs).
Automation & reliability: automate refreshes, alerting, and job orchestration; reduce manual effort in recurring reports through scripts/macros and documented pipelines.
Ad‑hoc analysis and root cause: investigate exceptions (expedites, backorders, shortages), structure hypotheses, and translate findings into prioritized actions for planners and buyers.
Business partnering: serve as the analytics point of contact for Planning, Procurement, Manufacturing, DC operations, Finance, and IT; communicate clearly with technical and non‑technical audiences.
Continuous improvement: benchmark processes, capture user feedback, and iterate dashboards and models; contribute to analytics standards and best practices.