Advanced Analytics, Staff - LinkedIn Marketing Solutions

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 will be based in New York City, San Francisco, Sunnyvale, 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 are looking for an Advanced Analytics Staff teammate to join us in leveraging one of the richest proprietary data sets in the world to investigate & make recommendations on LinkedIn’s advertising platform’s most critical business questions. In this role, you will partner with sales, operations, marketing, and finance teams to identify and deeply understand key go-to-market and broader business opportunities. You will partner with data and engineering teams to ensure we capture the right information for analysis, and communicate the findings to key stakeholders.

You will use your SQL skills and experience in applied statistics, analyzing data to draw actionable insights, and communicating findings to a variety of audiences. This is an exciting and high-profile opportunity to influence the trajectory of a significant portion of LinkedIn’s overall business.

Responsibilities:

• Analyze LinkedIn’s unique data to inform strategic decision making
• Implement algorithms, models, and methodologies that enable stakeholders derive actionable insights
• Develop deep business knowledge and identify key questions to explore
• Advise stakeholders & team on proper measurement and experimentation practices
• Anticipate data needs and partner with technical teams to address them
• Share and present findings and recommendations with senior leadership

Basic Qualifications 

• Bachelor's degree or equivalent experience   
• 6+ years of relevant experience applying data analysis to solve business problems, including data science, analytics, business intelligence, operations, engineering, reporting, or consulting. 
• 4+ years using SQL, analyzing and presenting data
• 3+ years of experience in applied statistics in a statistical software package (eg. R, Python)

Preferred Qualifications 

• Track record of driving measurable business impact through technical expertise and business acumen; analytical, structured, systematic and creative problem solver
• 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
• Experience presenting data or other technical concepts to non-technical stakeholders; ability to clearly communicate work to varying audiences
• CRM Data Expertise: Knowledge of data from a CRM, preferably Salesforce or Microsoft Dynamics 
• Experience with digital media/advertising
• Experience visualizing data in Tableau, PowerBI, or other data visualization platforms
• Familiarity with git and code review processes

Suggested skills:

• SQL
• Statistics
• Python
• R

LinkedIn is committed to fair and equitable compensation practices. 

The pay range for this role is $127,000 to $208,000. 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

LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement_2020 - Signed.pdf.

Please reference the following information for more information:  https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and

 https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf  for more information.

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.