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 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.

This role can be based in our New York City, San Francisco, Sunnyvale, Mountain View or Chicago office.

LinkedIn's Marketing Measurement team uses Marketing Mix Modeling (MMM) to measure campaign effectiveness and optimize investment decisions across multiple business lines and countries. This role supports the data infrastructure that makes MMM possible - managing data preparation, collection, and validation workflows while ensuring data integrity throughout our MMM program transformation from quarterly to monthly cadence.

You'll partner with senior team members, marketing analytics, data engineering, and vendor partners to execute data operations for MMM refreshes across US, UK, and international markets.

Responsibilities: Data Preparation, Collection & Pipeline Management

• Manage end-to-end data collection from MMM sources including Agencies, Singular/Campaign Central, DataWatch, and Fawkes

• Execute data egress and transfer workflows to vendor partners for:

• Monthly LMS US models

• Quarterly models across LMS UK, Consumer US/UK, LSS US/UK, LTS US/UK, Parent Brand US/UK

Data Validation & Quality Assurance

• Execute validation frameworks that check channel-level inputs, KPI availability, data completeness, format accuracy, and historical variance/anomaly detection
• Partner with data engineering, data operations, and vendors on UAT requirements and data cuts for MMM models and re-models
• Conduct detailed comparisons to ensure historical and future conversion figures remain reliable
• Diagnose data quality issues during validation workflows and coordinate resolution with source system owners
• Develop and maintain standardized processes and documentation for data QA
• Support quarterly validation workflows to reduce cycle time through pipeline-based checks

Process Improvement & Automation

• Identify opportunities to streamline data collection, validation, and reporting processes
• Partner with GTMDS and data engineering teams on automation priorities for quality checks, egress, and ingestion workflows
• Document processes and build playbooks that reduce manual interventions

Stakeholder Coordination

• Serve as key point of contact for data dependencies across GPO and Agency partners on MMM initiatives
• Coordinate quarterly and monthly modeling cycles across internal teams and external vendors
• Maintain clear communication on data timelines, dependencies, and blockers
• Collaborate with analytics and data engineering teams to resolve data issues (note: data engineering support provided by partner team)

Success in This Role Looks Like

• Data delivered accurately and on time with minimal errors or rework
• Validation cycle time reduced through automation and standardized processes
• Strong partnership feedback from internal teams, agencies, and vendors
• Clear documentation and knowledge sharing that scales team capabilities

Qualifications Basic Qualifications:

• BA/BS degree in Finance, Marketing, Data Science, Statistics, STEM, or equivalent experience.
• 4+ years of experience in marketing analytics, data analytics, or a related role
• 3+ years in a data analytics role with SQL and Python or similar data analysis tools and programming languages

Preferred Qualifications:

• Experience supporting marketing measurement programs, such as Marketing Mix Modeling (MMM) or attribution
• Experience managing recurring data collection and validation workflows across multiple data sources
• Experience diagnosing data quality issues and coordinating fixes with technical and non-technical partners
• Familiarity with marketing data concepts such as campaign metrics, media mix, or conversions
• Experience working with automated data pipelines or QA checks
• Comfort operating in fast-moving environments with recurring deadlines

Suggested Skills:

• SQL-based data analysis and validation
• Marketing data collection and QA
• Marketing measurement data support (including MMM inputs)
• Data workflow coordination across systems and partners
• Stakeholder and program coordination

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $112,000 to $185,000.

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 We seek candidates with a wide range of perspectives and backgrounds and we are 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 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.