The location of this role will be San Francisco or Sunnyvale.

Our Ecosystem Analytics team is seeking a Sr. Associate to deliver strategic insights and build analytical data products that empower Ecosystem Strategic Finance stakeholders. This role blends business strategy, data analysis, and technical implementation. For example, you might develop a forecasting model for a top-level metric and deploy it through a Python-based Dash web application. These data products are critical to driving growth, health, and value across the LinkedIn member ecosystem.

Responsibilities Strategic Thinking

• Contribute to strategy development and operationalize ideas for ecosystem growth
• Develop and maintain forecasting models for DAU and other key metrics
• Perform ad hoc analyses to validate hypotheses and inform decision-making
• Communicate insights and implications to senior leadership and cross-functional teams

Stakeholder Influence

• Communicate implications of work (e.g., forecasts, analyses, trends) to management and cross-functional stakeholders with the necessary business context
• Leverage insights and data to develop narratives to influence stakeholders
• Collaborate effectively to support decision-making on issues related to analytics and technical deliverables

Execution & Organization

• Build and deploy analytical data products using Python (e.g., Dash apps)
• Query and transform data using SQL
• Use Git for version control and collaborative development
• Ensure code quality and reproducibility across analytics workflows

Performance Management

• Create, maintain, and update models and forecasts for assigned metrics
• Access, transform, and synthesize data from multiple sources to assess signals, trends, and risks
• Execute ad hoc analyses to address well-defined business questions and derive actionable insights

Culture & Values

• Support the culture and values of the organization, including diversity, inclusion, and belonging
• Seek out feedback and provide constructive feedback to colleagues
• Take advantage of opportunities for career growth and skill development

Qualifications Basic Qualifications

• Bachelor’s Degree in Business, Analytics, Finance, or related field
• 3+ years of experience in strategy, analytics, or technical operations
• Experience with SQL for data querying and transformation
• Experience with Python, including experience with Dash or similar frameworks
• Experience with Git for version control

Preferred Qualifications

• Familiarity with data visualization and dashboarding best practices
• Analytical and communication skills; ability to present recommendations to senior leadership

Suggested Skills

• Data Analysis & Forecasting
• SQL & Python
• Git & Version Control
• Strategic Thinking
• Project Management
• Stakeholder Management

Additional Information LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $98,000 to $158,000. 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 accommodations@linkedin.com 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.

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 accommodations@linkedin.com 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.