Staff, Advanced Analytics

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.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.  

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

The Staff Advanced Analytics role is the curator and creator of Advanced Analytics solutions across LinkedIn Talent Solutions (LTS) and LinkedIn Sales Solutions (LSS) functions.  You will learn the business inside-out, develop roadmaps, and drive outcomes for our global customers with Advanced Analytics solutions (e.g., segmentation and forecasting). You will lead engagements with business leaders to identify opportunities and design/deliver analytical solutions (typically with a combination of SQL and Python/R). Our solutions aim to provide the right information at the right time to enable the best outcomes.   

The ideal candidate will function as a senior analytics practitioner and, therefore,  require advanced SQL skills as well as Predictive Analytics skills to navigate end-to-end data asset development lifecycle (e.g., requirements elicitation through development and eventual sunset).  The candidate should also have strong analytical skills and be adept at deriving, distilling and articulating actionable business insights from large amounts of data.  Using strong communication skills, the Staff Analytics Associate will effectively collaborate with a variety of people and job functions, accomplishing tasks of high complexity and scope, and have the ability to perform professionally in a challenging and extremely fast-paced environment.  The Staff Associate will work with upstream partners and mentor junior resources on the team to help deliver against critical analytical deliverables.

Responsibilities: 

• Develop/deploy production models (e.g., forecasting and classification)
• Leverage LinkedIn’s unique data to create innovative analyses & dashboards. 
• Work with upstream technology partners to develop and deliver technical solutions.
• Write SQL/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings either in Tableau, Excel or PowerPoint.
• Develop analytics dashboards and other scaled visualizations to inform decision making business-wide.
• 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
• 7+ years of experience in data-driven roles
• 5+ years of experience with SQL and Python for analysis
• 5+ years of experience with Excel
• 3+ years of experience developing and deploying predictive models to production

Preferred Qualifications:  

• People management or technical lead experience
• Strong problem-solving and project management skills
• Experience presenting data or other technical concepts to senior stakeholders
• Proven experience managing a large group of stakeholders and independently driving global projects
• Experience with Sales Operations processes and CRM systems (e.g., SFDC and Dynamics)
• Experience with Power BI and Tableau

Suggested skills:

• SQL
• Python
• Technical leadership 

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.