Marketing Science Strategic Analyst, Marketing Science and Technology

Job Description This position can be performed in New York City, Chicago, or San Francisco depending upon which location the applicant chose for the role is currently residing. At LinkedIn, our approach to flexible work is centered on trust and is 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. Join us in advancing our vision to create economic opportunity for every member of the global workforce by helping organizations thrive and grow through marketing excellence. The LinkedIn Marketing Solutions (LMS) Marketing Science and Technology team is seeking a dynamic, visionary Strategic Analyst with a strong technical background and proven expertise in insights, marketing analytics and measurement innovations to join our global team of marketing measurement and insights experts. This team is responsible for developing and scaling leading-edge marketing measurement and insights solutions to support our LMS sales teams with deepening strategic relationships with our customers and driving commercial outcomes powered by the experiences of LinkedIn’s 1B+ members spanning over 200 countries and territories. As a Strategic Analyst, you’ll be at the forefront of providing data driven insight and driving measurement excellence for our clients and agency partners. Partnering across sales, product, and marketing, you will lead the adoption of advanced analytics and measurement strategies, harnessing industry-leading data to unlock actionable insights and maximize advertising impact across digital platforms. Responsibilities Client Leadership: Partner closely with Sales to translate data-driven insights and measurement into actionable strategies that improve business performance for our clients and agency partners Insights & Influence: Synthesize complex data into clear, actionable recommendations for senior technical and non-technical stakeholders Measurement Strategy & Execution: Design and lead advanced measurement initiatives (experimentation, incrementality, attribution, clean rooms) to optimize marketing performance Advanced Analytics: Apply SQL, Python, and visualization to analyze LinkedIn and third-party data at scale Innovation & Product Influence: Advise cross-functional partners to identify innovation opportunities including, but not limited to new product features, measurement capabilities, and go-to-market strategies Thought Leadership: Drive POV on the future of B2B measurement and represent the company externally Project Delivery: Lead end-to-end delivery of complex, custom projects Data Governance: Uphold best practices in data privacy, security, and coding standards Basic Qualifications 8+ years' experience in analytics, marketing science, measurement, or consulting, with direct client-facing leadership. 5+ years' experience using SQL or similar querying language. 5+ years' experience in a consultative or advisory role. 3+ years' experience in project or program management. Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Economics, Engineering, Mathematics or related analytic field). Preferred Qualifications 10+ years analytics, marketing science, measurement, or consulting, with direct client-facing leadership. 6+ years' experience using SQL or similar querying language. 6+ years' experience in a consultative or advisory role.4+ years' experience in project or program management. Experience in digital marketing and AdTech ecosystems, including agency landscape. Demonstrated expertise in measurement methodologies (e.g., incrementality, attribution, MMM, experimentation, CAPI). Experience working with large-scale datasets and advanced analytics tools. Experience applying AI / LLM techniques in analytics workflows. Suggested Skills Digital and Performance Marketing Stakeholder Management SQL/Python Consulting Compensation LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $126,000 to $204,000. 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 Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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. Accessible Hiring LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: Reasonable Accommodations Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: #J-18808-Ljbffr LinkedIn