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$ cat jobs/senior-analytics-engineer-go-to-market-data-linkedin3-2e241f90cfc5.json

Senior Analytics Engineer, Go-To-Market Data 

Linkedin3·Worldwide·Mountain View, US·senior
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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. This role will be based in Sunnyvale, San Francisco, Chicago, or New York. 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. The Analytics Engineer, Marketing Strategy & Technology Data Foundations (Staff) will lead and scale foundational data initiatives that enable the Marketing Strategy & Technology organization to make better decisions, improve operations, and drive business impact. As a senior member of the team, you will partner closely with Sales, Strategy & Operations, Engineering, and Data teams to understand business pain points and translate them into scalable data solutions and long-term architecture. This is not a purely pipeline development role. We are looking for an Analytics Engineers who understand modern data platforms and data pipelines but can operate at a higher level, designing durable data foundations, shaping data architecture, and creating solutions that make workflows simpler and more effective for business users. This is a highly visible role for someone who thrives at the intersection of data architecture, analytics engineering, and business strategy. You will influence how data is structured, governed, and consumed across