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. You’ll 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. 

You’ll 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. 

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 $116,000 to 193,000. 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. 

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.