Senior Insights Analyst

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, c