Company Description
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.
Job Description
This role will be based in San Francisco or New York City.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
The Scaled Success & Programs team drives customer success and value at scale through a digital-first approach across LinkedIn solutions.
As part of the Scaled Success Measurement team, you will work with one of the richest proprietary data sets in the world and collaborate with a high-caliber, passionate team. You will lead high-impact projects and help prioritize strategies that drive customer success and value at scale.
Your work will supercharge our go-to-market efforts by embedding data into how we evaluate and improve our initiatives. You will develop tools and frameworks to measure the impact of the Scaled Solution Organization (SSO), using strong analytical skills, LinkedIn’s unique data, and disciplined project management techniques. Your insights will directly shape strategies to reduce churn and increase feature adoption—changing how one of the world’s leading tech companies delivers value at scale.
Responsibilities:
- Serve as a thought leader on measurement methodologies within the Scaled Solutions Organization
- Develop a comprehensive measurement plan and provide data-driven recommendations to enhance strategic decision-making.
- Drive cross-functional alignment on operational improvements, collaborating closely with Sales Ops and other internal teams.
- Extract, analyze, and visualize data using SQL in Trino environments, Tableau, and internal systems to generate meaningful insights.
- Design causal testing frameworks to measure the incremental impact of key initiatives on churn and feature adoption.
- Increase experiment velocity, ensuring pilot results are available quickly.
- Provide regular performance reporting and lead discussions on applying key learnings across teams.
- Conceptualize and execute initiatives that help stakeholders make better data-driven decisions.
- Create and manage project plans for analytic programs and tools, adjusting priorities based on impact and effort.
- Act as a customer-centric program manager, ensuring all projects and analyses are aligned with customer value.
Qualifications
Basic Qualifications
- BA/BS degree in a relevant field (e.g., math, statistics, economics, business, or related)
- 3+ years of experience in data visualization and storytelling to derive insights
- 3+ years of consulting or project/product/program management experience, working cross-functionally and presenting to stakeholders
- 2+ years of experience using SQL to query large datasets, analyze data, and generate reports
Preferred Qualifications
- Strong ability to communicate findings to both technical and non-technical audiences
- Experience with digital marketing analytics, including multi-touch attribution and customer journey analysis
- Proficiency in Python, with experience applying machine learning libraries in a professional setting
- Strong stakeholder management skills and ability to influence without authority
- Business acumen and creative problem-solving skills
- Intellectual curiosity and a proactive approach to learning
- Experience managing complex, multi-workstream programs and leading cross-functional analytics initiatives
Suggested Skills
- Data Analysis
- Data Visualization
- Program Management
- Measurement Methodologies
- Statistical Analysis
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $102,000 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.
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: 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 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.
