Analytics Engineer, Go-To-Market Data

Artisan AI • Sunnyvale, CA

68d • $138,000 - $225,000

About The Position

This role will be based in Sunnyvale, San Francisco, Chicago, Omaha 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, Go-To-Market Data (Staff) will lead and scale global data initiatives for the LinkedIn Marketing Solutions (LMS) business, powering data-driven decision-making and business growth at an organizational level. As a senior member of the Data Foundations & Operations team within Global Strategy & Operations, you will define the vision, strategy, and implementation of core data capabilities that shape how we operate, sell, and innovate globally. This is a highly visible, impact-oriented role for someone who thrives at the intersection of data architecture, analytics engineering, and business strategy. You will partner closely with senior business leaders, Engineering, Data Science, Business Operations, and Finance to design and deliver solutions that improve data integrity, scale reliably, unlock new insights, and directly influence business outcomes.

Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems / MIS, Statistics / Applied Mathematics, Software Engineering / Computer Engineering, Business Analytics / Business Information Systems or related practical experience.
• 6+ years of experience working with data, systems, or tools in a business setting (e.g., analytics engineering, data management, business intelligence, data science, operations, or consulting).
• 4+ years of experience using SQL to create, manage, and optimize large datasets.
• 4+ years building scalable data solutions to support business needs.

Nice To Haves

• 5+ years of experience designing and scaling business-critical data infrastructure, pipelines, tools, and systems in production.
• Experience with Trino SQL, distributed data systems (e.g., Hadoop, Spark), and modern data stack technologies.
• Proficiency with BI tools (e.g., Tableau, Power BI) and strong understanding of data modeling best practices.
• Proven ability to drive measurable business outcomes through data architecture, analytics engineering, and cross-functional collaboration.
• Demonstrated experience leading large-scale projects and managing diverse stakeholders independently.
• Expertise in CRM data (preferably Salesforce or Microsoft Dynamics) and understanding of digital media/advertising data ecosystems.
• Track record of driving organizational adoption of data products and leading process change.
• Strong communication skills with the ability to present complex technical solutions to non-technical audiences and senior leadership.
• Bias toward action; comfortable navigating ambiguity and operating in a fast-paced environment.

Responsibilities

• Lead high-impact global data initiatives from concept to scale - including solution design, technical roadmaps, prioritization, delivery, and adoption across cross-functional teams.
• Architect scalable, reliable, and business-critical datasets and pipelines that power analytics, decision-making, and automation across the LMS organization.
• Drive organizational success by proactively identifying pain points and opportunities, translating business strategy into data solutions, and influencing roadmap priorities.
• Serve as a technical thought leader, establishing standards, processes, and best practices for analytics engineering, data quality, and operational excellence.
• Own and deliver cross-functional solutions that reduce technical debt, improve data accuracy, simplify workflows, and maximize productivity across teams and tools.
• Define and measure success metrics for large-scale projects, delivering outsized business impact (e.g., revenue growth, operational efficiency, adoption).
• Champion the adoption of data products across lines of business, enabling teams to self-serve insights and make smarter decisions faster.
• Foster collaboration and alignment across business, engineering, and data science partners; ensure shared understanding of goals, trade-offs, and success criteria.
• Mentor and guide junior team members, serving as a strategic advisor and sounding board on technical and business problems.

Benefits

• The pay range for this role is $138,000 to $225,000.
• Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications, and specific office location.
• The total compensation package for this position may also include annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees