Job Information
LinkedIn Sr Business Operations Associate, Consumer Products in San Francisco, California
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 role will be based in San Francisco or Mountain View.
We are looking for a Business Operations Senior Associate to join our BizOps Flagship Experience team in leading our top- and bottom-line impact through objective analysis, operational insights and strategic initiatives.
You will be working closely with cross-functional teams within the Flagship organization, whose main objective is to create a global knowledge marketplace for professionals with equitable access to ideas, insights and inspirations to unlock a world of opportunity for all. You’ll have an opportunity to work across a broad range of Flagship pillars covering the Feed Experience and Relevance, Creator, and Search teams. You’ll be responsible for running the product performance management, defining product strategy (‘where to play’ and ‘how to win’ in the next 2+ years), as well as driving ideation and prioritization on what the team needs to do in quarterly and annual planning.
Responsibilities:
Deliver strategic projects for our leadership that provide key business insights for high-priority initiatives
Conduct in-depth analysis of our various businesses and develop deep understanding of key value drivers to identify improvement areas and opportunities
Act as an operational leader in actively managing forecasting and business performance
Track business performance trends, perform diagnostic and drive actionable resolutions, as well as proactively identify opportunities for improvement
Serve as the connective tissue of a cross-functional team (including Product, Data Science, AI, Engineering, Product Marketing, Finance, Business Development) to shape the future strategy for Flagship products
Identify, diagnose and resolve performance issues
Manage financial/operational dashboards to monitor business line performance and analyze business drivers
Communicate effectively across all levels (within the team, to cross-functional partners, to leadership / executives)
Basic Qualifications:
BA/BS degree in engineering, math, statistics, physics, computer science, business or related discipline, or relevant work experience
4+ years of work experience in a strategy related role with an emphasis on quantitative skills
Experience with SQL, Excel, data set manipulation and visualization, and presentation
Preferred Qualifications:
Background in management consulting, investment banking, private equity, strategy or an operational or growth role within a technology company
Proactive and passionate: You’re independently capable of seeking information, solving conceptual problems, corralling resources, and delivering results in challenging situations
High-energy, team-first attitude: You’re motivated to work collaboratively in a fast-paced, ever-changing environment to help our growing business
Highly analytical: You’re analytical, with experience decomposing and solving real world business problems, ideally building/using advanced models.
Concise and effective communications: You’re able to articulately present and debate recommendations with cross-functional teams and senior leadership
Suggested Skills:
SQL
Strategy
Performance Management
Data Analysis
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $100,000 to $156,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional 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 (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.
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