Sr. Insights Analyst, Marketing Solutions

LinkedIn • San Francisco, CA

8h • Hybrid

About The Position

This role will be based in in New York City or San Francisco. 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 Sr. Insights Analyst with a strong technical background and proven expertise in marketing analytics and campaign measurement innovation to join our global team. Responsible for developing and scaling leading-edge insights and measurement advisory solutions, the Sr. Insights Analyst deepens strategic relationships with our marketing customers and drives commercial outcomes powered by the experiences of LinkedIn’s 1B+ members spanning over 200 countries and territories. As a Sr. Insights Analyst, you will leverage one of the richest proprietary data sets in the world to discover insights that help serve our clients and agencies through intelligent decision support.  To be successful in this role you need to be highly analytical, with a strong intellectual curiosity and be comfortable responding to and structuring ambiguous requests. You will also have a passion for querying databases in SQL or have comparable technical skills. You must be able to juggle multiple tasks in a fast-paced environment and work with sales teams to figure out exactly what is impactful to clients. Your stakeholders will not always know what is possible, so it is important that you ask effective questions to get clarity in addition to managing expectations on what you can deliver. You will be tasked with communicating custom insights, driving project effectiveness and stakeholder relationships, developing solutions for business problems, and analyzing data to provide actionable insights, all while maintaining coding standards and adhering to data privacy guidelines. Key responsibilities in this client-facing role include conducting and scaling custom analyses, preparing and delivering client and agency presentations, providing consultative advice to clients and LinkedIn sales reps and responding to client and agency requests. You will be seen as an expert at using coding languages to extract data from LinkedIn’s massive data warehouse, turning that data into compelling stories that help our clients become more successful and crafting holistic measurement solutions using your deep knowledge of the LI measurement suite and industry best practices.

Requirements

• Bachelor's degree in marketing, math, statistics, economics or related quantitative field
• 5+ years' experience working in marketing analytics or related analytical field
• 3+ years' experience using SQL or similar querying language
• 3+ years' experience in a consultative or advisory role
• 1+ years' experience in project or program management

Nice To Haves

• 6+ years' experience working in marketing analytics or related analytical field
• 4+ years' experience using SQL or similar querying language
• 4+ years' experience in a consultative or advisory role
• 2+ years' experience in project or program management
• Experience in advertising measurement methodologies, including attribution, MMM, incrementality, online/offline measurement, CAPI and experimental design.
• Experience in developing or deploying Large Language Models (LLMs) and Generative AI techniques.
• Experience with data analysis, data visualization and storytelling
• Experience in performance and digital marketing with familiarity of the media agency landscape
• Ability to communicate findings clearly to both technical and non-technical audiences
• Excellent interpersonal, communication, writing, and presentation skills
• Suggested skills Digital Marketing Performance Marketing Data Analysis Data Storytelling Data Visualization

Responsibilities

• Insights Generation & Delivery: Extract and analyze LinkedIn and third-party data using SQL, Python, and visualization tools (e.g., Tableau, Excel), translating findings into actionable business insights and clear presentations.
• Innovative Analytics & Measurement: Develop and scale innovative analyses and measurement solutions that address business challenges including proving and improving customer value. Provide expert consultancy on bespoke measurement strategies aligned to customer needs.
• Cross-Functional Collaboration: Work closely with Sales, Marketing, Product, Engineering, and Support teams to drive innovation and deliver business impact.
• Client Engagement & Enablement: Represent the Marketing Science & Technology org in client meetings, executive briefings, and support enablement activities to drive adoption and understanding of Insights solutions.
• Project & Process Management: Manage custom marketing science projects, including planning, stakeholder communication, timeline oversight, and project execution to optimize deliverables.
• Stakeholder Advocacy: Serve as a subject matter expert for stakeholders by understanding needs, providing recommendations, and promoting data-driven decision making to unlock business growth.
• Data Privacy & Governance: Adhere to data privacy, security, and exemplify coding standards to ensure compliant handling and sharing of data across all projects and stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level