Staff Data Analytics

Advanced Micro Devices, Inc•Austin, TX

11h•Hybrid

About The Position

This role is a high-visibility position within AMD’s Finance organization, with an expanded scope to accelerate AI adoption across the Global Sales & Marketing finance team. The role blends strong data analytics skills combined with financial acumen to drive advanced analytics, automation, and adoption of modern AI-enabled tools. The position reports directly to the Sr. Finance Manager. This role reviews complex financial and operational data and performs strategic analyses and reporting (i.e. profit and loss, balance sheet, cash flow, pricing, rebates) with the goal of influencing business outcomes and driving cross-business initiatives. In addition, the role will help lead the team’s AI movement by identifying high-value use cases, driving process improvements and standard work, building scalable automation, and delivering group training and ongoing enablement so the organization can adopt AI responsibly.

Requirements

Advanced Excel skills, including data modeling and process automation.
Strong experience querying and preprocessing data from structured and/or unstructured sources using SQL (or similar query languages).
Technical skills in one or more scripting languages (such as Python, Java, etc.) for statistical analysis and/or building and scoring AI/ML models.
Experience in Finance/Accounting related roles such as Corporate FP&A, Sales Finance, Strategy Finance, Marketing Finance, Business Finance, Accounting, and/or related consulting experience.
Strong understanding of US GAAP principles and revenue recognition standards under ASC 606.
Ability to translate between technical and finance stakeholders, turning complex data and tools into actionable business recommendations.
Self-starter with excellent interpersonal communication, teaming, and problem-solving skills.
Robust analytical skills required and the ability to turn sophisticated data and concepts into valuable information to present in a simple/understandable manner.

Nice To Haves

Preferred knowledge of Power BI or Tableau (or equivalent visualization tools).
Passion for applying AI to drive process improvements, standardize reporting, and enable broader team productivity (including helping with AI training/enablement).
Proven experience writing code that is easy to follow and well documented; comments added where necessary to explain logic (high code transparency).
Bachelor’s or Master’s degree in Finance, Accounting, MIS, Computer Science, or related field preferred

Responsibilities

Serve as the Global Sales finance data expert supporting Global Channel Sales Organization.
Perform month-end and quarter end close activities, support reporting and consolidation activities related to pricing/rebates.
Identify, prioritize, and deliver AI/automation use cases that solve business problems; drive efficiency by automating, simplifying, or eliminating routine work.
Plan and deliver recurring group training (and office hours) on AI-enabled workflows for finance, including best practices, validation techniques, and reusable examples/templates.
Champion AI adoption across the group by sharing best practices, partnering with stakeholders on process improvements, and measuring impact (time saved, quality improvements, cycle-time reduction).
Accurately forecast pricing discounts and provide business insights and variance analysis.
Perform scenario analysis & planning to be used for decision making and approvals (e.g. pricing deals, revenue & gross margin analysis, etc.).
Analyze financial impact of customer deals and communicate impact across functional teams to ensure financial goals are met.
Drive continuous improvements in execution by collaborating with Corporate Financial Planning, Accounting, Regional Finance, Legal, and Business Unit Operations.
Take full ownership of and accountability for ongoing reports providing validation and supporting documentation to business partners as required.
Assist in providing valuable management decision support, driving key business goals, identifying major trends and corresponding business issues.