Marketing Measurement Data Manager

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.

LinkedIns 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.

Youll 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
• Validate and reconcile data during platform transitions
• Lead investigation and integration of new datasets to enhance MMM models
• Explore and identify data availability to model additional countries or business units

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 $112000 to $185000.

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 Information :

Equal Opportunity Statement 

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No

Employment Type :

Full-time