Principal Insights Analyst, LMS Customer Insights

This position can be performed in New York City or San Francisco depending upon which location the applicant chosen for the role is currently residing. 

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.  

Searching for your dream job At LinkedIn we strive to help our employees find passion and purpose. 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 Marketing Solutions (LMS) Customer Insights team is seeking a dynamic visionary Principal Insights Analyst with a strong technical background and proven expertise in marketing analytics and measurement innovation to join our global team which is responsible for developing and scaling leading-edge marketing measurement and insights solutions to support our sales teams with deepening strategic relationships with our marketing customers and driving commercial outcomes powered by the experiences of LinkedIns 1B members spanning over 200 countries and territories.   

Key responsibilities for this role include data solutions innovation aligned to new platform products features and associated measurement and insights solutions using advanced analytics and technical partner solutions to deliver world-class marketing and business intelligence to unlock new paths for market differentiation and growth. Realizing the vision for this role will require developing and scaling complex customer insights and measurement solutions for enterprise customers working in close collaboration with sales teams and cross-functional partners to enable LMS sales teams to better nurture and grow existing customers through insights and measurement innovation. The ideal candidate is highly customer-centric consultative and thrives in a collaborative environment with team members and cross-function partners in Marketing Product Data Science and Data Engineering.  

Responsibilities: 

Solutions Innovation  

• Lead Customer Insights custom solutions delivery and innovation for large enterprise customers focusing on new data solutions design development and implementation leveraging advanced analytics and data modeling techniques  
• Drive alignment prioritization risk assessments and issues mitigation across team deliverables to ensure delivery against SLAs knowledge transfer and quality controls.   
• Advise senior Product and Engineering partners on prioritization of data table access core tables development bug fixes and technical enhancements including development of on-demand scale solutions.  

Team Leadership  

• Lead teams to consistently deliver high quality work with appropriate visibility and aligned to quality standards.  
• Design and implement new ways of working that increase Customer Insights impact on the business and accelerate time to value 
• Create a collaborative work environment by fostering knowledge sharing constructive feedback transparency accountability and continuous learning 
• Coach and mentor team members in best-practice of modern planning and execution -- modeling LinkedIns culture and values; serve as a role model for Customer Insights analysts while influencing stakeholders to think more strategically and creatively about data solutions to unlock customer growth.  

Stakeholder Partnerships  

• Work with both technical and non-technical stakeholders to lead in capturing complex business requirements determining solution prioritization and evaluating customer needs and resourcing 
• Establish strong partnerships with Sales Product Product Marketing Engineering and Data Science teams to advance the development and scaling of advertising insights and measurement solutions 
• Be a world-class collaborator who can build trust influence and co-create effectively with a diverse group of partners across the global Customer Insights and broader LMS organizations.   

Commercial Impact 

• Act as a trusted advisor to sales partners and customers offering expertise on advanced measurement and insights capability areas -- including MMM MMT incrementality (e.g. conversion lift testing) and advanced SQL query development.  
• Ensure all measurement and insights innovations align with key commercial objectives equipping sales teams with insights that support revenue expansion relationship-building and strategic advisory capabilities 
• Lead in the development of new and innovative Customer Insights scale assets (e.g. meta analyses) that demonstrate the value of new and existing platform features and ad formats while expanding the business use cases for LinkedIns first-party data  
• Leverage marketing analytics and technical subject matter expertise to meaningfully influence and impact key business priorities and customer outcomes  

Qualifications :

Basic Qualifications  

• 10 years of experience in digital media analytics marketing analytics performance marketing media consulting or related industry 
• 5 years of technical data analytics project experience in customer-facing consultative roles  
• Experience in advanced SQL python data modelling marketing analytics methodologies (e.g. including MMM MMT incrementality (e.g. conversion lift testing) and advanced SQL query development 
• Bachelors or above in a Marketing data science computer science engineering mathematics or other quantitative field or equivalent practical experience 

Preferred Qualifications 

• 15 years of experience in digital media analytics marketing analytics media consulting or related industry  
• 7 years of technical data analytics project management experience in customer-facing consultative roles  
• Strong analytical and adaptive problem-solving skills with a focus on driving actionable insights from complex data sets 
• Strong commercial and customer success orientation with proven track record developing insights and measurement solutions aligned to commercial outcomes 
• Experience with CRM platform technology and data structures identity solutions data cleanroom technologies (e.g. Google Ads Data Hub LiveRamp Snowflake InfoSum) 
• Expertise in advanced SQL python data modelling marketing analytics methodologies (e.g. including MMM MMT incrementality (e.g. conversion lift testing) and advanced SQL query development 
• Experience with CRM identity solutions data cleanroom technologies (e.g. Google Ads Data Hub LiveRamp Snowflake)  
• Experience with LLM and Gen-AI techniques  
• Excellent business judgment strategic thinking and solutionsorientation 
• Experience in B2B marketing analytics and marketing intelligence or B2B consulting  
• Experience working directly with engineering and technical teams as well as individual contributors 
• Excellent communication presentation skills and experience presenting to executive stakeholders and influencing senior leadership 
• Experience working with offshore analyst teams 

Suggested skills 

• Digital Marketing  
• Performance Analytics 
• Data-driven Consulting 
• Project Management 
• Executive Stakeholder Management 

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $148000 to $230000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.    

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit 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 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

A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

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 LinkedIns 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: 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: Work :

No