LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role can be based in either San Francisco or Mountain View The role of our Monetization Strategic Finance org is to make sense of complex financial data to help LinkedIn make the best strategic decisions to grow and operate the business. The StratFin Data and Analytics team (FDNA) combines deep business understanding with scalable data products and unique insights to monitor, forecast, and optimize LinkedIn’s top-line performance. We enable our partners to make informed decisions, manage risks, and identify opportunities across multiple business areas. We are looking for a data professional who will build data assets that scale recurring work and analysis through algorithms, dashboarding, and AI applications. Responsibilities: Advanced analytics & AI tools development + Leverage statistical modeling, machine learning, or AI techniques to forecast key metrics and detect trends/anomalies + Enhance product initiative impact tracking and reporting process – turning our A/B testing results into insights that we can leverage in performance management and forecasting. + Build AI agentic application that will monitor metric performance and answer high-level questions. + Automate repetitive processes to free up time for deeper analysis and strategic thinking. Build data pipelines and tools + Partner with data teams to design and maintain scalable data pipelines. + Develop robust reporting and dashboard solutions that provide near-real-time visibility into key metrics. + Ensure data quality and reliability for downstream analytics applications. Collaborate and Innovate + Develop scenario analyses for different business cases, helping finance and product stakeholders make informed decisions about investments, resource allocation, and growth opportunities. + Champion data best practices and drive a culture of analytics across teams. + Stay up-to-date on emerging tools, technologies, and methodologies in data analytics and AI. Basic Qualifications + Bachelor's Degree in quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, or related AND minimum 3 years of experience in data and analytics, or related field OR equivalent experience Preferred Qualifications + 2+ years of experience with SQL, Python, and Data Visualization (Tableau, PowerBI) + Ability to communicate findings, analysis implications and technical concepts clearly to both technical and non-technical audiences + Experience or demonstrated understanding of A/B testing + Experience or demonstrated understanding of AI pipeline Suggested Skills + Data analysis and interpretation + Effective communication + Project management and prioritization LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $96,000 to $156,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. **Equal Opportunity Statement** LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 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