Analytics Engineer, Go-To-Market Data
LinkedInUnited States1 day ago
Full-timeRemote FriendlySales
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Company Description
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.
Job Description
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.
Responsibilities
Qualifications
Basic Qualifications:
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. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.
Additional Information
Equal Opportunity Statement
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.
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.
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 at [email protected] and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
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.
Job Description
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.
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.
Qualifications
Basic Qualifications:
- Bachelor’s degree 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
- 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.
- SQL, Presto and Spark
- Large-Scale Data Architecture
- Analytics Engineering
- Data Infrastructure Design
- Cross-Functional Leadership
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. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.
Additional Information
Equal Opportunity Statement
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.
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.
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 at [email protected] and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
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