LinkedIn Looking for Staff, Advanced Analytics at San Francisco, CA Full Time

Imagine what we can do together. LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

Job Description

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

Qualifications

Basic Qualifications:

• Bachelor’s degree in engineering, Analytics, Math, Computer Science, related field or related practical experience
• 7+ years of experience in data-driven roles
• 5+ years of experience with SQL 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, Tableau, and Python

Suggested skills:

• Python
• Analytics
• SQL
• Problem solving
• Communication

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $119,000 to $193,000. 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.

Additional Information

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: https://lnkd.in/equalemploymentopportunity2017. Please reference the following information for more information: https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf. Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.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.

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: https://lnkd.in/equalemploymentopportunity2017. Please reference http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to [email protected]. This email box is designed to assist disabled job seekers who seek a reasonable accommodation to the application process. Emails sent for non-disability related issues, such as following up on an application, will not receive a response.

In your email, please include the following: (1) confirm you have a disability; (2) identify the disability-related limitation that needs to be accommodated, and (3) if known, describe the specific accommodation requested for the disability-related limitation. A response to your request may take up to three business days.

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.

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.

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.

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.

Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice