Principal Insights Analyst

Job Description

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 excellence. LinkedIn 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 LinkedIn’s 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 LinkedIn’s 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 LinkedIn’s 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 solutions orientation 
• 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 $148,000 to $230,000. 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 https://careers.linkedin.com/benefits.