Sr. Analyst Supply Chain Strategy & Ops

Advance Auto Parts•Raleigh, NC

About The Position

Advance Auto Parts is seeking a high performing candidate to join our Supply Chain Strategy & Ops team. This is a high-impact, high-visibility role responsible for driving analytical insights, strategic initiatives, and transformational change across our end-to-end supply chain. This role is ideal for a self-driven problem solver who thrives in ambiguity, enjoys breaking down complex business problems, excels at pulling together rigorous analytics and is motivated by measurable business impact. You will work closely with supply chain leadership and cross-functional partners to shape strategy, develop scalable solutions, and enable data-driven decision making that improves performance today while building the supply chain capabilities of the future. The Senior Supply Chain Analyst will play a critical role in turning data into insight, insight into strategy, and strategy into execution. You are energized by complex, ambiguous problems and comfortable operating without a predefined playbook. You are deeply analytical, but always focused on real-world business outcomes, not just analysis. You balance strategic thinking with a hands-on, execution-oriented mindset. You are curious, proactive, and driven to make things better—even when the path forward is not obvious or challenging. You can move seamlessly between data, strategy, and stakeholder communication.

Requirements

Exceptional problem-solving and analytical skills, with the ability to structure ambiguous problems and develop actionable insights.
Strong business acumen with an understanding of supply chain tradeoffs, financial drivers, and operational impacts.
Ability to clearly communicate complex analyses and recommendations, including the “why” and “how,” to cross-functional and senior stakeholders.
Strong collaboration and relationship-building skills in a fast-paced, matrixed environment.
Advanced SQL skills required; experience working with large, multi-source datasets.
Advanced Excel skills; comfort building analytical models and financial impact assessments.
4+ years of experience in supply chain analytics, strategy, consulting, business analytics, or a related field.
Proven track record of driving business impact through data-driven insights.
Bachelor’s degree in Supply Chain, Industrial Engineering, Business Analytics, Finance, Economics, Operations Research, or a related field.

Nice To Haves

Experience with data visualization and analytics tools (e.g., Power BI, Python, R) preferred.
Experience working with supply chain, inventory, or operations data strongly preferred.
Experience in retail, distribution, e-commerce, or consumer-focused supply chain environments strongly preferred.
Advanced degree (MBA, MS, or similar) preferred but not required.

Responsibilities

Support the development and execution of multi-year supply chain strategies aligned to enterprise objectives.
Identify high-impact opportunities across network design, replenishment, transportation, and fulfillment to improve cost, service, and working capital.
Translate broad strategic objectives into structured analyses, actionable recommendations, and executable roadmaps.
Partner with Supply Chain Transformation leaders to design, prototype, test, and scale new processes, tools, capabilities, and decision frameworks.
Tackle open-ended and ambiguous supply chain problems using a structured, hypothesis-driven approach.
Independently define problem statements, determine appropriate analyses, and work through incomplete or imperfect data.
Build advanced analytical models to quantify opportunities, tradeoffs, and risks.
Measure impact, track results, and continuously refine recommendations based on performance.
Leverage large, complex data sets to uncover trends, inefficiencies, and opportunities across the supply chain.
Apply strong SQL skills and advanced analytics to extract, transform, and analyze data across multiple systems.
Develop scalable analytical tools, dashboards, and models to support ongoing decision-making.
Collaborate with data, IT, and analytics teams to improve data quality, accessibility, and analytical capabilities.
Partner closely with Supply Chain, Inventory, Merchandising, Finance, Technology, and Store Operations teams.
Communicate insights clearly and effectively to audiences ranging from analysts to senior leaders.
Explain not just what the data says, but why it matters and how it should influence decisions.
Influence without authority by building trust, credibility, and strong business understanding.