LinkedIn
Senior Insights Analyst
LinkedInUnited States10 hours ago
Full-timeRemote FriendlySales
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 NYC, Chicago, Omaha, SF, or Sunnyvale.

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.

As part of LinkedIn’s Product Experience Insights team, you’ll contribute to our vision of enabling a friction-free product experience for every member and customer. Our mission is to elevate experiences by driving action from insights and empathy. We value adaptability, impact, and proactive problem-solving. In this role, you’ll help prevent and reduce friction by partnering with R&D, testing new features, and surfacing actionable insights that shape our products.

As a Senior Insights Analyst, you will leverage LinkedIn’s proprietary data and advanced analytics to generate actionable insights, drive product improvements, and elevate member and customer experiences. You’ll play a key role in identifying friction points, advocating data-driven solutions, and collaborating across teams to inform product strategy and roadmap.

Responsibilities

  • Generate actionable insights using advanced analytics, statistical modeling, and data visualization tools (SQL, Presto, Spark, Python, Tableau, PowerPoint).
  • Apply causal inference and predictive analytics to identify trends, measure impact, and develop new product quality metrics.
  • Integrate signals from diverse sources (customer support, social media, behavioral data) to uncover friction points and opportunities.
  • Leverage large language models (LLMs) such as GPT to infer, theme, and address member friction, and advocate for data-driven solutions.
  • Utilize emerging AI tools (e.g., Glean, Copilot) to build agentic workflows, automate insights, and scale analytics capabilities.
  • Collaborate cross-functionally with Product Operations, Data Science, Business Intelligence, Engineering, and other stakeholders to translate insights into strategic recommendations.
  • Build and scale analytical tools, dashboards, and reporting solutions to democratize insights and enable self-serve analytics.
  • Coach and enable teams on analytics methodologies, tools, and best practices.


Qualifications

Basic Qualifications

  • 5+ years experience in an analytics or quantitative role
  • Bachelors Degree in math, statistics, economics or related quantitative field
  • 5+ years experience in a role requiring research, data interrogation, analysis and visualization
  • 5+ years experience writing and optimizing SQL queries to extract trends


Preferred Qualifications

  • Advanced degree (MA/MS/PhD) in a quantitative field.
  • Experience influencing product strategy and measuring impact through actionable insights.
  • Expertise in transforming complex data sets into clear recommendations for technical and non-technical audiences.
  • Background in technology, product, or consultative industries delivering data-driven strategies.
  • Proficiency in big data technologies (Hadoop, Python for ETL), statistical modeling (Python/R), and data visualization (Tableau).
  • Skilled in experimental design and A/B testing.
  • Understanding social media and consumer Internet practices.
  • Experience leveraging LLMs and emerging AI tools to address member friction and streamline operations


Suggested Skills:

  • Analytics
  • SQL
  • Phyton
  • Program Management
  • AI/ML


LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $105,000 to $170,000. 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.

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


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 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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