LinkedIn

LinkedIn

Senior Analytics Engineer, Go-To-Market Data

Mountain View, CA, United States · Senior · Contract

Sponsorship not specified$138k-$225kDetected 4 days ago
PythonDistributed SystemsSQLSparkAirflowData EngineeringData ScienceData VisualizationLLMsStatisticsSalesforceCRMLeadershipPublic SpeakingHadoop

About the role

  • 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.

Responsibilities

  • Lead high-impact data initiatives from strategy through execution, including solution design, prioritization, delivery, adoption, and long-term ownership across cross-functional teams.
  • Partner closely with Sales and business stakeholders to understand pain points and design scalable data foundations, architectures, and workflows that improve decision-making and operational efficiency.
  • Drive adoption of trusted data products and enable self-service insights across teams.
  • Mentor team members and promote scalable system design, strong technical practices, and operational excellence.
  • Documents in alternate formats or read aloud to you
  • Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Applied Mathematics, Engineering, Business Analytics, or equivalent practical experience.
  • 6+ years of experience delivering data and analytics solutions in a business environment (e.g., analytics engineering, data architecture, business intelligence, data infrastructure, data management, or consulting).
  • 4+ years of experience using SQL and distributed data technologies (e.g., Trino, Presto, Spark SQL) to design, build, and optimize large-scale datasets and data workflows.
  • 4+ years of experience designing and operating scalable, reliable data foundations, including data modeling, monitoring, data quality, governance, or operational ownership.
  • Experience partnering with business stakeholders to translate ambiguous requirements into scalable technical solutions and measurable business outcomes.
  • 1+ years of experience working with GenAI technologies and frameworks (e.g., LLM APIs, agent frameworks, AI-enabled analytics workflows).

Nice to have

  • Passion for applying AI and data capabilities to improve business decision-making and operational efficiency.
  • Strong experience with modern data platforms and distributed systems (e.g., Spark, Hadoop, Airflow, InDBT, cloud data ecosystems).
  • Experience designing business-critical datasets, data products, or self-service analytics solutions with clear ownership and adoption strategies.
  • Familiarity with BI and visualization tools (e.g., Tableau, Power BI) and best practices in data modeling, governance, and documentation.
  • Demonstrated ability to influence and align business, engineering, and data stakeholders, including presenting technical concepts to senior leadership.
  • Experience working with CRM and go-to-market data ecosystems (e.g., Salesforce, Microsoft Dynamics, sales, marketing, or advertising data domains).
  • Comfortable operating in ambiguous, fast-paced environments with a strong bias toward action.
  • Suggested Skills:

Skills

  • Modern Data Platforms
  • Data Architecture
  • Data Governance
  • Data Quality
  • Business Partnership
  • Cross-Functional Leadership
  • LinkedIn is committed to fair and equitable compensation practices.
  • This may be different in other locations due to differences in the cost of labor.
  • For more information, visit https://careers.linkedin.com/benefits.
  • Equal Opportunity Statement
  • 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.

Compensation

  • As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Equal opportunity

  • 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.
  • 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.
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Visa & Work Authorization

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This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.