Responsibilities

• Advise Sales Leadership: Communicate actionable, data-driven recommendations to sales leaders and executives, supporting both long-term strategic priorities and day-to-day decision-making.
• Conduct In-Depth Business Performance Analyses: Frame and scope complex business problems, conduct rigorous quantitative analysis, solicit qualitative inputs, and track/ensure program impact for key organizational initiatives.
• Accelerate Operational Excellence: Enhance processes, support foundational infrastructure efforts, and scale best practices across teams to contribute to operational excellence (e.g., customer segmentation, headcount planning, quota setting, performance management, data & tooling automation).
• Drive Cross-Functional Projects: Spearhead and provide recommendations on strategic, cross-functional initiatives that shape LinkedIn’s go-to-market strategy and sales motion. Establish strong working relationships with peers in other Operations teams and cross-functional partners (strategic finance, sales leadership, customer science, and systems teams) to achieve business objectives.
• Builder Mindset: Curious, self-sufficient, and AI-fluent, with a natural instinct to identify inefficiencies, streamline complex operational processes, and proactively explore what’s possible. Leverages AI and data to build practical, scalable solutions and brings a strong “go do it” mentality.

Requirements

• BA/BS degree in business, operations, analytics, or a related field — or equivalent practical experience in consulting, finance, sales operations, business operations, or analytics
• 6+ years in management consulting, sales or business operations, strategic finance, or an analytical/operational role
• 1+ years of experience with SQL.
• Experience in analyzing data and the ability to see beyond the numbers to drive sound decision-making

Preferred

• MBA or advanced degree preferred
• Experience communicating effectively and presenting to Senior Executives.
• Advanced knowledge of Microsoft Excel: expertise in data analysis and financial modeling.
• Demonstrated fluency with AI tools and a builder mindset, with the ability to leverage AI and data to develop scalable analytical solutions
• Strong project management skills and ability to mobilize cross-functional teams towards shared objectives
• Experience working in high-growth, performance focused environments
• Experience working in an advertising-led business and knowledge of the agency landscape

Benefits

• The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.