Staff Applied Analytics Analyst

This role will be based in Sunnyvale Mountain View or San Francisco CA. 

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. 

We are looking for a Staff Applied Analytics Analyst (IC4) to help us reach our AI/ML and agentic ambitions in our People Analytics function within Global Talent Organization. You will be a driving force in advancing our applied analytics capabilities leveraging cutting-edge AI/ML technologies and agentic frameworks to deliver actionable insights and scalable solutions to help us democratize workforce insights and people intelligence. Youll work cross-functionally to architect implement and deploy production-grade AI tools while making complex analytics accessible to non-technical stakeholders. Your forward-thinking approach will help shape our AI strategy and keep our team at the forefront of innovation. 

To be successful in this role you need to be highly analytical have strong intellectual curiosity and be comfortable responding to and structuring ambiguous requests. 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 must be able to prioritize multiple tasks in a fast-paced environment. Exceptional attention to detail strong analytical and development skills proactive communication skills and an ability to meet tight deadlines will be critical for success in this role. 

Youll be part of a team that values innovation collaboration and continuous learning. Your work will directly impact our People Analytics strategy and help shape the future of democratization of people intelligence across the organization. 

Responsibilities 

AI/ML Model Development & Deployment  

• Design implement and refine production of AI/ML solutions leveraging enterprise platforms and tools to ensure scalability reliability and performance.  
• Oversee solution lifecycle management including testing for production releases troubleshoot issues monitoring performance metrics and ensuring compliance with deployment standards. 

Agentic & AI Tool Integration 

• Evaluate build and orchestrate AI tools and agent flows using platforms such as Visier Vee Copilot Studio Glean Agents and other enterprise AI tools. 
• Leverage and experiment with leading AI solutions (ChatGPT Enterprise Claude Gemini etc.) to enhance analytics delivery. 

Data Analysis & Insights 

• Translate stakeholder requirements to analysis plans conduct complex data analysis develop actionable insights and communicate findings to stakeholders using advanced visualization tools (Power BI Visier etc.).  

• Document methodologies findings and insights to ensure clarity reproducibility and knowledge sharing. 

Stakeholder Engagement & Enablement 

• Collaborate with senior leaders cross-functional teams and other stakeholders to align analytics solutions with evolving business needs and support implementation of new solutions. 

• Translate technical concepts for non-technical users fostering understanding and adoption of applied analytics solutions. 

Governance & Scalability 

• Ensure data and project work comply with governance policies and best practices. 

• Identify opportunities to scale manual reports and analytics solutions prioritizing based on impact and feasibility. 

Industry Leadership 

• Stay abreast of emerging AI trends and proactively recommend solutions and perspectives to address complex business challenges. 

• Ensure diversity inclusion and belonging are embedded in the design of our analytics initiatives. 

Qualifications :

Basic Qualifications: 

• BA/BS in Computer Science Data Science Information Technology Applied Statistics Engineering or related field.  
• 7 years of experience in data analytics applied data science or a similar role. 
• Demonstrated experience in deploying production-grade AI/ML models. 
• Experience with SQL Python and R coding. 
• Experience with data visualization tools (Power BI Visier etc.). 

Preferred Qualifications: 

• Experience with agentic frameworks (LangGraph LangChain Autogen CrewAI). 
• Familiarity with enterprise AI tools (Visier Vee Copilot Studio Glean Agents ChatGPT Enterprise). 
• Familiarity with LLM fine-tuning and hands-on experience with prompt engineering. 
• 3 years of experience working with both non-technical stakeholders and engineering teams. 
• Strong communication skills with the ability to explain technical concepts to non-technical audiences. 
• Forward-thinking mindset with a passion for staying ahead of AI industry trends. 

Suggested Skills: 

• Design and Systems Thinking 
• Adaptability and Autonomy 
• Critical Thinking and Creative Problem Solving 
• Stakeholder Management 
• Technical Communication 

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $116000 to 193000. 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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No

Employment Type :

Full-time