Staff, Advanced Analytics

This position can be performed in Chicago, New York, San Francisco, or Sunnyvale depending upon which location the applicant chosen for the role is currently residing. 

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.  

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:

• People management or technical lead experience
• 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:  

• 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
• Modeling 

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.

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• 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

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