This role will be based in Munich, Germany.

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.

At LinkedIn we believe that marketing is what accelerates business growth and that nearly all the levers of business growth are driven by marketing. Because of this, we are passionate about helping marketers unlock growth for their companies and seeing them thrive. We work with our customers to empower them to make more effective marketing and business decisions with insights leveraging one of the richest proprietary data sets in the world.  

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 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 quantitative field (e.g., Statistics, Data Science, Economics, Engineering, Mathematics or related analytic field).
• Fluency in both verbal and written English & German

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

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