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 Mountain View.

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 Global Revenue Recognition team is seeking a Senior Revenue Analyst based in LinkedIn’s Mountain View office (hybrid role).  This individual will work cross functionally with our Sales, Pricing, Legal and Deal Desk teams to structure, assess, and approve deals in accordance with applicable revenue guidance. In addition, they will assist in analyzing different sales programs and new product introductions, determining revenue impacts and implementing end-to-end process updates relative to these initiatives. This role will report to the Revenue Manager and will be part of a dynamic revenue team with great career development opportunities and exposure to exciting new offerings.

A successful candidate will have excellent communication and collaboration skills, an inquiring mind, and a positive attitude. Having the ability to adapt to change and shift priorities quickly while maintaining accuracy will be key for this role.  While focusing on details, this candidate can consider the big picture and make recommendations for compliant processes that support LinkedIn’s future growth.    

Like every LinkedIn employee you will be measured on leadership, leverage and results:

• Leadership – The ability to inspire others around you

• Leverage – Do more with less/impact process that can scale with growth

• Results – Be accountable for producing results above what is expected

Responsibilities:

• Review and assess new sales initiatives and programs for proper accounting and determine revenue recognition is in accordance with the relevant accounting guidance

• Execute User Acceptance Testing (UAT) on behalf of Global Revenue for New Product Introductions (NPI) and Sales frameworks

• Provide support to cross functional partners such as Deal Desk, Pricing, Legal and Sales to ensure all accounting impacts have been considered

• Review and approve non-standard deal language on offers and Sales Agreements to assess for any potential revenue recognition impact in accordance with relevant accounting guidance

• Periodical assessment of Revenue Management System transactions for completeness and accuracy

• Perform month-end close duties, including journal entries, large deal reviews and account reconciliations

• Complete ad hoc analysis and reporting as needed

Basic Qualifications:

• BA/BS degree in Accounting, Finance or related field of study

• 5+ years of relevant revenue experience such as ASC 606

• Experience with Enterprise Financial Management Solutions such as Microsoft Dynamics

• Experience with Revenue Management Solutions such as Zuora

Preferred Qualifications:

• Intermediate Excel skills (e.g. PivotTable and VLOOKUP)

• A versatile and driven team player with the ability to build relationships while executing on deliverables 

• Self-motivated individual with the ability to simultaneously drive numerous projects, and adapt to business process changes

• Ability to identify, prioritize, and resolve differing business issues

• Ability to communicate effectively with colleagues on your immediate team, as well as with all cross-functional teams

• Knowledge and experience in SAAS accounting

• Project management skills 

Suggested Skills:

• Data analytics managing large volumes of data

• Acute attention to detail

• Strong interpersonal skills including written and verbal communication

• Collaboration, and problem-solving skills

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $98,000 to $160,000. 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.

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 (https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=xcELJV) .

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/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 accommodations@linkedin.com 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.