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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 individual contributor will be essential in ensuring the data organization delivers on solutions that fit marketing requirements and capabilities. The team act as a key intermediary between the marketing organization, data organization, MarTech, and engineering, consolidating, and organizing business requirements and ensuring strong communication between both groups. The team is responsible for setting a clear vision for what the business needs and working closely with our data science and engineering partners to make the vision a reality. The position will help lead key projects, including rebuilding marketing data foundations, translating business requirements into technical requirements, and troubleshooting data issues, all of which have tremendous influence on how we measure our business and ultimately make investment decisions. 
 
The ideal candidate will be exceptional in written and verbal communication skills, able to move seamlessly between technical conversations, and high-level concepts. This individual has a strong knowledge of how marketing works and is well versed in marketing analytics, knowing the underlying technical requirements that enables informed decision-making in the marketing organization. They will be exceptional at building strong relationships across the marketing and data science organizations and condensing technical knowledge in a way that inspires confidence and trust across both M&C and the data organization. They will be able to understand and process requests and involve the right stakeholders to solve problems. Above all else, the ideal candidate is an excellent team-player who can work through roadblocks with innovative ideas and ensure we are building out a data environment that meets marketing use cases. 
 
Responsibilities: 

• Able to gather and coordinate user requirements to inform design, or reverse engineer requirements from existing data sources & applications 
• Identify, and manage key projects to support changes to our data infrastructure, developing project charters, setting up key meetings and managing deliverables along the way 
• Work in partnership with other teammates to prioritize, delegate and QC data fixes 
• Manage projects in a way that inspires trust and confidence, considers stakeholder feedback, and moves forward in a transparent, efficient, and effective manner 
• Scope requirements and work with technical and non-technical teams to identify and implement solutions 
• Manage the two-way translation between business and technical requirements for B2B or B2C Campaign Reporting 

Basic Qualifications:

• BA/ BS Degree in Computer Science, Economics, Mathematics or equivalent years of experience
• 1+ years of experience in analytics, project management, program management or marketing

Preferred Qualifications:

• Ability to collaborate with key partners and stakeholders to define metrics, identify requirements and suggest solutions
• Understanding of how data is used across Marketing, including performance management, reporting, measurement capabilities like modeled attribution, media mix modelling
• Understanding of digital marketing, social, and advertising technologies, such as Google Marketing Platform, Facebook, Google Ad Manager, Social Ad Managers, Singular, and/or Adobe
• Excellent problem-solving skills and initiative
• Willingness to learn quickly and autonomously in a fast-paced environment
• Excellent verbal and written communication skills
• Experience in communicating and influencing both technical and non-technical stakeholders
• Experience with marketing campaign operations and taxonomy
• Experience in project or program management

Suggested Skills:

• Analytics
• Critical Thinking
• SQL
• Excellent Written Communication

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $63,000 to $90,000. 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://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.

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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.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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