Marketing Science Strategic Analyst, Marketing Science and Technology

Job Description

The position can be performed in New York City, Chicago, or San Francisco depending upon which location the applicant chooses for the role is currently residing.

Work location is hybrid, performed both from home and from a Linked In office on select days, as determined by the business needs of the team.

We are seeking a dynamic, visionary Strategic Analyst with a strong technical background and proficiency in insights, marketing analytics, and measurement innovations to join our global team of marketing measurement and insights experts. The team develops and scales cutting‑edge marketing measurement solutions to support LMS sales teams and drive commercial outcomes powered by Linked In’s 1B+ members across 200+ countries and territories.

As a Strategic Analyst, you’ll provide data‑driven insight and drive measurement excellence for our clients and agency partners. You will partner across sales, product, and marketing to lead the adoption of advanced analytics and measurement strategies, harnessing industry‑leading data to unlock actionable insights and maximize advertising impact across digital platforms.

• 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 Linked In and third‑party data at scale.
• Innovation & Product Influence:
  Advise cross‑functional partners to identify innovation opportunities including 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.

• 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).

• 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.

• Digital and Performance Marketing
• Stakeholder Management
• SQL/Python
• Consulting

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.

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

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. Linked In considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender…