Data & Business Intelligence, Sr. Associate

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.

This role can be based in Sunnyvale, San Francisco, New York, or Chicago.

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’re seeking a Senior Associate, Data & Business Intelligence to join our team. In this role, you’ll help build and scale the data environment that powers Sales Operations at LinkedIn, while developing solutions that drive impactful, data-informed decisions.

You’ll work on complex analytics initiatives across LinkedIn Talent Solutions (LTS) and LinkedIn Sales Solutions (LSS), leveraging tools and skills such as SQL, Spark, and advanced analytics techniques. This role is ideal for someone passionate about strengthening data infrastructure and enabling scalable, high-quality insights.

Success in this role is driven by cross-functional collaboration with business leaders, Engineering, Sales, and Operations, paired with clear communication and the ability to navigate complex, high-impact work in a fast-paced environment, delivering timely, actionable insights while building a reliable foundation for data-driven decision-making.

Responsibilities: 

• Leverage LinkedIn’s unique data to create innovative analyses & dashboards, including developing/deploying predictive models (e.g., forecasting and classification).
• Write SQL/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings.
• Collaborate closely with the sales, marketing, engineering and data teams to provide analysis, reporting and tools that inform key stakeholders.
• Build cross-functional relationships and partner effectively with other teams to drive project success.
• Make business recommendations, conveying findings at multiple levels including managers and peers through visual displays of quantitative information. 

Basic Qualifications:  

• Bachelor's degree in related field or related practical experience
• 3+ years of experience in data-driven roles
• 3+ years of experience in SQL, analyzing and presenting data
• 3+ years of experience with either Python or R
• 2+ years of experience building pipelines with ETL tools
• Experience building predictive models

Preferred Qualifications:  

• Demonstrated record of intellectual curiosity, strong work ethic and drive for success
• Ability to be self-motivated, proactive, and comfortable operating in a rapidly changing industry
• Strong problem-solving and project management skills
• Experience presenting data or other technical concepts to stakeholders; ability to clearly communicate work to varying audiences
• Experience with Sales Operations processes and CRM systems (e.g., SFDC and Dynamics) 
• Understanding of data engineering principles
• Adept at deriving, distilling and articulating actionable business insights from large amounts of data

Suggested Skills:

• Communication 
• Critical Thinking
• SQL 

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $112,000 to $185,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications, and specific office location. This may differ in other locations due to cost of labor considerations.  

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional 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.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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