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 LinkedIns Product Experience Insights team youll 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 this role youll 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 LinkedIns proprietary data and advanced analytics to generate actionable insights drive product improvements and elevate member and customer experiences. Youll 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:
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $105000 to $170000. 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.
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Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
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No
Employment Type :
Full-time
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